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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260831T221247Z
UID:e75a8068-28c1-4dbd-913c-adb4013d4e32
DTSTART:20261117T093000Z
DTEND:20261201T173000Z
DESCRIPTION:RNA sequencing (RNA-seq) is widely used to quantify gene expres
 sion and investigate biological processes at the transcriptome level. This
  course provides a practical introduction to the analysis of bulk RNA-seq 
 data\, from raw sequencing reads through to biological interpretation of d
 ifferential expression results.\n\nParticipants will learn about quality c
 ontrol\, alignment\, and quantification of gene expression against a refer
 ence transcriptome. The course also covers exploratory data analysis in R 
 using techniques such as principal component analysis and clustering\, as 
 well as differential expression analysis using the DESeq2 R/Bioconductor p
 ackage. In addition\, participants will learn how to generate visualisatio
 ns\, including heatmaps\, and perform gene set testing to relate different
 ially expressed genes to biological functions and pathways.\n\nBy the end 
 of the course\, participants should be able to independently analyse bulk 
 RNA-seq data and critically interpret the results.\n\nTeaching is primaril
 y hands-on\, with short presentations and demonstrations introducing the c
 oncepts and methods needed to analyse bulk RNA-seq datasets.\n\n\n      Bo
 ok this event or register interest\n      This event is not yet open for b
 ooking. Please choose the section that applies to you.\n      \n      Univ
 ersity of Cambridge member\n      Register interest\n      External partic
 ipant\n      Register interest\n      \n      \n\n== Intended audience ==\
 n\nThis course is suitable for:\n\n* researchers and students interested i
 n analysing bulk RNA-seq data\n* participants who want practical experienc
 e with transcriptomics data analysis workflows\n* researchers with experie
 nce of high-throughput sequencing who wish to develop skills in RNA-seq da
 ta analysis\n* participants with a working knowledge of UNIX and R\n\n== C
 ourse fees ==\n\nAll fees are per full training day.\n\n{| class="wikitabl
 e"\n|-\n! Category\n! Fee\n|-\n| Industry full charge\n| £130.00\n|-\n| A
 cademic / Government / charity concessionary\n| £65.00\n|-\n| Cambridge U
 niversity staff members / postdocs / visitors\n| £65.00\n|-\n| Cambridge 
 University registered students\n| Free\n|-\n| Cambridge University registe
 red students non-attendance\n| £22.00\n|-\n| Special events\n| Per event\
 n|}\n\nPayment options will be provided in booking confirmation emails sen
 t after registration.\n\n[More details…](https://bioinfotraining.bio.cam
 .ac.uk/postgraduate/eligibility)\n\n== General information ==\n\nMore deta
 iled information is available on our dedicated [cancellation and non-atten
 dance policy](https://bioinfotraining.bio.cam.ac.uk/cancellation-and-non-a
 ttendance)\, [waiting list](https://bioinfotraining.bio.cam.ac.uk/waiting-
 list)\, [accessibility](https://bioinfotraining.bio.cam.ac.uk/accessibilit
 y-support)\, [privacy policies](https://bioinfotraining.bio.cam.ac.uk/priv
 acy-and-cookie-policies) and [terms &amp\; conditions](https://bioinfotrai
 ning.bio.cam.ac.uk/https%3A/bioinfotraining.bio.cam.ac.uk/events/terms-and
 -conditions) pages.\n\nGuidance on visiting Cambridge and finding accommod
 ation is available [here](https://bioinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Bulk RNA-seq analysis (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6425691
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