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Introduction to bioinformatics and applications
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Approaches
Design and implementation of new algorithms and statistics which assess relationship among members of large data sets.
Analysis and interpretation of various data types, which includes nucleotide and amino acid sequences and structure of protein.
To develop computational tools and databases that enables efficient analysis, access and management of biologically significant information.
Bioinformatics Tools
Sequence Analysis Structure Visualization Structural Analysis Molecular Simulation and Dynamics Molecular Docking Cheminformatics Tools Data Mining Tools
Various Specialized Application
Gene Prediction Genome Annotation Structure Prediction Expression Analysis Drug Discovery Compound Screening
Research Projects
Analyzing raw experiment data Gene Prediction and Genome Annotation Sequence Analysis of unique genes Codon Usage Analysis Analyzing Microarray expression data
Phylogenetics Protein Folding and Structural Analysis Structure prediction and Molecular
Modeling Molecular Docking Development of Secondary structure
Algorithm
Drug discovery Identification of Drug Targets Designing a Bioinformatics Software Designing a Bioinformatics database Comparative Genomics Cancer Genomics Metabolic pathway analysis Metabolic pathway mapping
Cheminformatics Molecule screening for drug discovery In silico Drug Likeness In silico ADMET Molecular simulation Web based Applications / web datasets
Project Steps Identify a relevant problem Define the problem Literature Review Objective to find solution for the chosen
problem Methods Results expected Analysis Interpretation Documentation
