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DTSTAMP:20260716T130237Z
UID:0d618a59-1ba3-4062-badf-c598fe241725
DTSTART:20251015T083000Z
DTEND:20251029T173000Z
DESCRIPTION:In this course you will acquire practical skills in RNA-seq dat
 a analysis. You will learn about quality control\, alignment\, and quantif
 ication of gene expression against a reference transcriptome. Additionally
 \, you will learn to conduct downstream analysis in R\, exploring techniqu
 es like PCA and clustering for exploratory analysis. The course also cover
 s differential expression analysis using the ''DESeq2'' R/Bioconductor pac
 kage. Furthermore\, the course covers how to generate visualisations like 
 heatmaps and performing gene set testing to link differential genes with e
 stablished biological functions or pathways.\n\n\nIf you do not have a Uni
 versity of Cambridge [Raven account](https://legacy.raven.cam.ac.uk/auth/a
 ccount/) please book or register your interest [here](http://bioinfotraini
 ng.bio.cam.ac.uk/booking-form/?event-id=5898670&amp\;course-title=Bulk%20R
 NA-seq%20analysis%20online).\nIf for any reason the above links do not wor
 k\, please email [Research Informatics Training Team](https://training.cam
 .ac.uk/bioinformatics/info/contact) with details of your course enquiry.\n
 \nAdditional information\n\n* Our courses are only free for registered Uni
 versity of Cambridge students. All other participants will be charged acco
 rding to our  [charging policy](http://www.training.cam.ac.uk/bioinformati
 cs/info/charging).\n* Attendance will be taken on all courses and a charge
  is applied for non-attendance. After you have booked a place\, if you are
  unable to attend any of the live sessions\, please email the [Research In
 formatics Training Team](https://training.cam.ac.uk/bioinformatics/info/co
 ntact).\n* Further details regarding eligibility criteria are available [h
 ere](http://www.training.cam.ac.uk/bioinformatics/info/eligibility).
LOCATION:Craik-Marshall Building
SUMMARY:Bulk RNA-seq analysis (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5898670
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