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2015 - BMMB 852D: Applied Bioinforma8cs Week 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinforma8cs Consul8ng Center Penn State

Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

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Page 1: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

2015-BMMB852D:AppliedBioinforma8cs

Week15,Lecture30

IstvánAlbert

BiochemistryandMolecularBiologyandBioinforma8csConsul8ngCenter

PennState

Page 2: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

RNA-SeqconceptsAnRNA-Seqanalysishasthreeseparateyetequallyimportantsteps

1.  Iden8fy/assignreadstoloca8ons

2.  Es8ma8ngabundancespertranscript

3.  Comparingabundancesàdifferen8alexpression

Thereisenormousdisagreementabouthoweachthesestepsshouldbeperformedàhenceverylargenumberofop8onsThereareworkflowsthatdoallthree.Thereareworkflowsthatmixandmatchfrommethods.

Page 3: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Makingsenseofyourdata

Soyou’veiden8fiedthetranscriptsthatdifferen8allyexpressacrosscondi8ons.

Nowwhat?

Page 4: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Thelengthyprocessofmakingsenseofdata

Themostimportantaspect

Don’texpectthedatatobothtellyouwhattheques:onis

andalsoprovidetheanswerforitHaveaques8on/hypothesisàthedatacananswerit.

Page 5: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Makingsensetakeslongerthanrunningtoolson

IPathwayguide–freetolookbutthencostsmoney

Page 6: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

ErmineJ

Genesetanalysis

Page 7: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Paralysisofchoice

•  Toomanychoices–toomanyparameters

•  Whattopick,amIright

•  I’veseenexcellentstudentsstrugglewiththis

Trustyourselfandmoveon.Finishingthejobishardest.

Page 8: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Bioinforma8cscanbestressful

Beingtheonlyonethatunderstandshowtoperformsomeanalyseshashighsandlows•  Youcanbepartoflotsofpapers•  EasiertomakeyourownsuccessLotsoftruthinMickWatson’samusingblogpos:•  Aguidetothelonely(pet)bioinforma8cian

Page 9: Week 15, Lecture 30 - Pennsylvania State University › iua1 › 2015_fall_852 › pdf › lecture-30.pdfWeek 15, Lecture 30 István Albert Biochemistry and Molecular Biology and Bioinformacs

Genomics

Genomicsisthemostdifficult

ques8onhumanityhasevertakenon.

Beingpartofitisamazing.

Youarepartofthe0.0001%ofpopula8on

Enjoytheride!