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BEGIN:VEVENT
DTSTART:20260513T140000Z
DTEND:20260513T160000Z
DTSTAMP:20260513T000000Z
SUMMARY:Find differential expressed genes with "DESeq2" in RStudio.
DESCRIPTION:\n\n\n\n\n\n\n\n\n\nRegistration required* and In-Person\n\n 
 \n\nSummary:\n\nIn this session\, we will teach you the basics of analyzing 
 transcriptomic data\, specifically on how to find differential expressed 
 genes using the popular package "DESeq2"\, for which you will need to use R 
 programming language. Importantly\, you will learn about the statistical 
 methodology behind the setup of your experimental design so you can be 
 confident that the results you get will be biologically meaningful.  
 \n\nYou will learn how to:\n\n\n	Retrieve processed data from GREIN 
 repository\n	Read files into RStudio (package = readr)\n	Assemble a DESeq2 
 matrix\n	Setup the appropriate design matrix\n	Perform basic data 
 visualization (e.g. PCA plot\, MA plot)\n	Save and organize processed data 
 files and results \n\n\nRequirements:\n\n\n	Basic knowledge of R 
 programming language \n	Bring a laptop with R and RStudio installed and 
 running  (download from here).\n\n\n\n\n\n\n\n\n\n\n\n
LOCATION:SHM L 111\, Cushing/Whitney Medical Library\, 333 Cedar Street\, Medical School
ORGANIZER;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
CATEGORIES:Bioinformatics
CONTACT;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
STATUS:CONFIRMED
UID:LibCal-16779862
URL:https://schedule.yale.edu/event/16779862
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