Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
PerkinElmer Signalstrade Turning Data Science into Reality with Spotfire
Dan Weaver and Seungtaek Lee
October 4 2016
2
Safe Harbor Statement
bull This document shows current intentions regarding product features
behavior schedules and support these intentions may change without
notice as we respond to customer requirements
bull Any unreleased products services or features referenced herein are
not currently available and may not be delivered on time or at all
Customers who purchase PerkinElmer informatics applications should
make their purchase decisions based upon products features and
services that are currently available
4
Big Data Challenges in Life Science
Transactional Systems Data Silos Discovery amp Access Restrictions
Isolation
Distributed Research Models Limited Sharing and Collaboration
Collaboration
On-premise Data Centers Expensive and Complex
Infrastructure Patients Assays Tissues
Organisms Proteins Genes
Variety
100000s of samples 100s of GB per day per Experiment
Volume
Structured vs Unstructured Data How to make Sense of the Data
Complexity
5
Cloud-based data store and analytics platform designed
for todayrsquos and tomorrowrsquos life science needs Enabling
user experience around TIBCO Spotfire supports wide
range of data processing workflows and applications
PerkinElmer Signalstrade
Domain-specific entity model and ontologies
Machine learning for data normalization and mapping
Signals App Store with scientific applications
Intelligent
Big data technology foundation - Spark amp HDFS
Cloud-scale elastic SaaS deployment
Automated workflows with Automation Services
Scalable
User friendly scientific applications in TIBCO Spotfire
User-driven self-service access to all relevant data
Collaboration within and across the firewall
Enabling
Introducing PerkinElmer Signalstrade
7
PerkinElmerrsquos Vision of Translational Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Stratified Patient Population Patient Population
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
2
Safe Harbor Statement
bull This document shows current intentions regarding product features
behavior schedules and support these intentions may change without
notice as we respond to customer requirements
bull Any unreleased products services or features referenced herein are
not currently available and may not be delivered on time or at all
Customers who purchase PerkinElmer informatics applications should
make their purchase decisions based upon products features and
services that are currently available
4
Big Data Challenges in Life Science
Transactional Systems Data Silos Discovery amp Access Restrictions
Isolation
Distributed Research Models Limited Sharing and Collaboration
Collaboration
On-premise Data Centers Expensive and Complex
Infrastructure Patients Assays Tissues
Organisms Proteins Genes
Variety
100000s of samples 100s of GB per day per Experiment
Volume
Structured vs Unstructured Data How to make Sense of the Data
Complexity
5
Cloud-based data store and analytics platform designed
for todayrsquos and tomorrowrsquos life science needs Enabling
user experience around TIBCO Spotfire supports wide
range of data processing workflows and applications
PerkinElmer Signalstrade
Domain-specific entity model and ontologies
Machine learning for data normalization and mapping
Signals App Store with scientific applications
Intelligent
Big data technology foundation - Spark amp HDFS
Cloud-scale elastic SaaS deployment
Automated workflows with Automation Services
Scalable
User friendly scientific applications in TIBCO Spotfire
User-driven self-service access to all relevant data
Collaboration within and across the firewall
Enabling
Introducing PerkinElmer Signalstrade
7
PerkinElmerrsquos Vision of Translational Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Stratified Patient Population Patient Population
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
4
Big Data Challenges in Life Science
Transactional Systems Data Silos Discovery amp Access Restrictions
Isolation
Distributed Research Models Limited Sharing and Collaboration
Collaboration
On-premise Data Centers Expensive and Complex
Infrastructure Patients Assays Tissues
Organisms Proteins Genes
Variety
100000s of samples 100s of GB per day per Experiment
Volume
Structured vs Unstructured Data How to make Sense of the Data
Complexity
5
Cloud-based data store and analytics platform designed
for todayrsquos and tomorrowrsquos life science needs Enabling
user experience around TIBCO Spotfire supports wide
range of data processing workflows and applications
PerkinElmer Signalstrade
Domain-specific entity model and ontologies
Machine learning for data normalization and mapping
Signals App Store with scientific applications
Intelligent
Big data technology foundation - Spark amp HDFS
Cloud-scale elastic SaaS deployment
Automated workflows with Automation Services
Scalable
User friendly scientific applications in TIBCO Spotfire
User-driven self-service access to all relevant data
Collaboration within and across the firewall
Enabling
Introducing PerkinElmer Signalstrade
7
PerkinElmerrsquos Vision of Translational Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Stratified Patient Population Patient Population
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
5
Cloud-based data store and analytics platform designed
for todayrsquos and tomorrowrsquos life science needs Enabling
user experience around TIBCO Spotfire supports wide
range of data processing workflows and applications
PerkinElmer Signalstrade
Domain-specific entity model and ontologies
Machine learning for data normalization and mapping
Signals App Store with scientific applications
Intelligent
Big data technology foundation - Spark amp HDFS
Cloud-scale elastic SaaS deployment
Automated workflows with Automation Services
Scalable
User friendly scientific applications in TIBCO Spotfire
User-driven self-service access to all relevant data
Collaboration within and across the firewall
Enabling
Introducing PerkinElmer Signalstrade
7
PerkinElmerrsquos Vision of Translational Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Stratified Patient Population Patient Population
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
7
PerkinElmerrsquos Vision of Translational Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Stratified Patient Population Patient Population
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
8
From Translational Medicine to Personalized Medicine
Multiplex ELISA
NGS
GEA
Quantitative
Pathology
IHC
Fusion CNV
Getting the right drug to the right patient at the right time
Precise diagnosis
Targeted Therapy
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
9
Translational Medicine Workflows
Raw Data
Select Processed
Data
QAQC
Results
Review Secondary
Analysis Select Clinical
Subject amp Samples
Secondary
Analysis
Data
Processing
Select Secondary
Results
Perform Integrated
Analysis
Bioinformatician Data Scientist
Focuses on single experiment
and starts with an instrument run
Translational Scientist
Starts with a scientific hypothesis
and scientific Entities
PerkinElmer Signals Annotated Raw Data
Annotated Processed Data
Derived Data
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
Translational Video
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
PerkinElmer Signals for Screening How Big Data Becomes Breakthrough Data
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
Screening Video
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
Extensible and configurable analytics applications to
TIBCO Spotfire The Signals Apps Store for Screening
supports users to create configurable screening data
analytics workflows for a wide range of applications
Signals App Store for Screening
Configurable and extensible apps can be combined to
protocols protocols can be saved and shared between
users extension and configuration with custom apps
Flexible
Protocols can be run interactive or fully automated
using Automation Services reporting apps for fully
integrated workflows
Automated
Intrinsic domain model awareness enables apps to
configure themselves and guide user through input
parameters selection
Intelligent
PerkinElmer Signalstrade for Screening
Data Import and
Aggregation
Spotfire Templates
High Content Profiler
Curve Fitting
SAR
Real-time Analytics
Alerts Reports
Publish Collaborate
Automated Workflow
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
Spotfire for Your Instrumentshellip
Plate Readers
Quantitative
Pathology Flow Cytometry
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
SciStream
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
16
Fingerprint ndash food and beverage profile
bull Food signaturefingerprint
bull Food fraud detection
bull Adulterated beverages
bull MSMS LC GC NIR etc
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
18
Fingerprint ndash gene expression signatureprofile
J Biomol Screen 2016 Oct21(9)989-97 doi 1011771087057116658646 Epub 2016 Jul 26 Severyn B1 Nguyen T2 Altman MD3 Li
L2 Nagashima K4 Naumov GN2 Sathyanarayanan S2 Cook E5 Morris E2 Ferrer M5 Arthur B5 Benita Y6 Watters J6 Loboda A6 Hermes
J5 Gilliland DG2 Cleary MA7 Carroll PM2 Strack P2 Tudor M5 Andersen JN2
Conclusion Multiplex gene expression readouts are more labor- and
resource-intensive than other assays commonly used in
drug discovery and HTS however in some instances they
may provide the only means of quantifying a phenotype of
interest This can be because a single readout (reporter gene
protein expressionmodification) may not capture all possible
responses of a model or because a univariate readout
may not have a sufficient assay window for screening In
cases where mRNA levels can be translated into relevant
biological readouts expression screening enables the
interrogation
of complex networks by small molecules and hits
identified from such GE-HTS efforts may yield important
new insights Indeed the ability of the present assay system
to identify RAS-MAPK targeting compounds together
with other recent gene signaturendashbased proof-of-concept
studies1718 suggests that these chemical genomic screens
will be able to play a unique role in drug discovery
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
19
Fingerprint ndash cellular phenotype
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
20
HCS usage is stillhellip quite Low Content
20
Shantanu Singh Anne E Carpenter amp Auguste Genovesio
Journal of Biomolecular Screening 19 611-613 (June 2014)
doi101038nrd3480 httpjbxsagepubcomcontent195640
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
21
High Content Profiler for HCSHTS
bull Multivariate Statistics
Normalization
QCOutlier detection
Feature selection
Hit selection amp stratification
bull Guided Spotfire Workflows
Cell and well level analysis
Automated standardized analysis
Highly interactive visualization
Scientifically validated
bull Image Rendering
Hypothesis testing
Result validation
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
23
System Components
These intentions may change without notice as we respond to customer requirements
HCS HTS 3rd Party ImageData Analysis Software
Matlab ImageJ CellProfiler etc
SIGNALS for SCREENING Analysis persistence and management of data generated by the instruments Columbus and Spotfire Apps and Protocols
COLUMBUS
OMERO 5x
Manage image transfer
and analysis from
instrument to the cloud
HPC IMAGE ANALYSIS
Columbus leverages
compute clusters for
scalable image analysis
Spotfire App Store
Interactive front-end for
protocol development
analysis and automation
SIGNALS PLATFORM
Built to support diverse screening platforms with domain models archiving permissions etc
SEARCH AND ADVANCED SCREENING ANALYTICS
Advanced search and cross assayscreen analytics
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
26
Takeaways ndash PerkinElmer Signalstrade
bull Life science data generation outpaces perception capabilities
bull Need to bring Big Data technologies to life science
bull Distributed research models require collaborative informatics
bull PerkinElmer Signalstrade for agile cloud-scale data management
bull Signals App Store for flexibility and automation in TIBCO Spotfire
bull Addressing business problems with intelligent scientific applications
Thank You
Thank You