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TZID:America/New_York
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DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
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DTSTART:20250309T020000
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DESCRIPTION:Registration Required - *Attendance in person* Click here to r
 egister. Summary: In this session\, we will teach you the basics of analy
 zing bulk RNA-seq data using the open-source software RStudio (download f
 rom here) and the popular package "DESeq2". Specifically\, we will focus 
 on performing differential gene expression analysis\, which involves iden
 tifying genes that are differentially expressed between two or more condi
 tions. You will learn how to: Import data files into RStudio Load R packa
 ges Run “DESeq2” Save processed data files into your computer (e.g. norma
 lized counts\, DEX genes table) Perform basic data visualization (e.g. PC
 A plot\, MA plot) Requirements: Bring a laptop with R and RStudio install
 ed and running (download from here ).\n\nSpeaker:\nSofia Fertuzinhos\n\nA
 dmission:\nFree: Open\; Registration is required.\n\nDetails URL:\nhttps:
 //medicine.yale.edu/event/finding-differential-expressed-genes-using-dese
 q2-in-rstudio-in-person-copy/\n
DTEND;TZID=America/New_York:20250625T120000
DTSTAMP:20260504T155854Z
DTSTART;TZID=America/New_York:20250625T100000
GEO:41.303230;-72.933870
LOCATION:Sterling Hall of Medicine\, L-Wing\, SHM L-111\, 333 Cedar Street
 \, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Finding Differential Expressed Genes Using “DESeq2” in RStudio (In
 -Person)
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