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DTSTART:20260924T140000Z
DTEND:20260924T160000Z
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SUMMARY:Mastering Differential Gene Expression Analysis with DESeq2 in Positron: From Demo to Your Data (Class 2)
DESCRIPTION:Registration required for Class 1 (you must attend Class 1 in 
 order to take Class 2)* and In-Person\n\nSummary: This two-part workshop is 
 designed to equip you with the essential skills for performing differential 
 gene expression analysis on bulk RNA-seq data using the powerful DESeq2 
 package within the RStudio environment.\n\nClass 1 (September 23): 
 Instructor-Led Deep Dive (2 hours) - In this hands-on session\, we will 
 guide you through the fundamental steps of DESeq2 analysis using a provided 
 demo dataset. You will learn the theoretical underpinnings of differential 
 expression and gain practical experience in setting up your 
 analysis.\n\nClass 2 (September 24): Practice and Application (2 hours) - 
 This dedicated practice session allows you to apply the knowledge and 
 skills gained in Class 1 to your own RNA-seq datasets. Instructors will be 
 available to provide support\, answer questions\, and assist with 
 troubleshooting as you navigate the analysis of your unique data.\n\nYou 
 will learn how to:\n\n\n	Prepare and import count data and metadata into 
 Positron for DESeq2 analysis.\n	Assemble a DESeqDataSet object and design 
 appropriate experimental models.\n	Perform differential gene expression 
 analysis using the DESeq2 package.\n	Extract\, interpret\, and export key 
 results\, including normalized counts and differentially expressed gene 
 lists.\n	Generate and interpret essential visualizations for DESeq2 output 
 (e.g.\, PCA plots\, MA plots\, Volcano plots).\n	Troubleshoot common issues 
 encountered during DESeq2 analysis (during the practice session).\n	Apply 
 best practices for analyzing your own bulk RNA-seq datasets.\n\n\n 
 \n\nRequirements: Bring a laptop with a working setup. This 
 includes:\n\n\n	Basic knowledge of R programming is required.\n	An IDE such 
 as Posit Workbench (RStudio) installed and running.\n	The latest version of 
 R installed\, compatible with Posit Workbench.\n	The DESeq2 package 
 (version 1.52) installed in your R environment.\n\n\n
LOCATION:SHM L 111\, Cushing/Whitney Medical Library\, 333 Cedar Street
ORGANIZER;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
CATEGORIES:Bioinformatics
CONTACT;CN="Sofia Fertuzinhos":MAILTO:sofia.fertuzinhos@yale.edu
STATUS:CONFIRMED
UID:LibCal-17509715
URL:https://schedule.yale.edu/event/17509715
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