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VERSION:2.0
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BEGIN:VEVENT
DTSTAMP:20260628T123227Z
UID:6d4dcd3a-65eb-4413-a0b9-f105939baf32
DTSTART:20221107T100000Z
DTEND:20221110T150000Z
DESCRIPTION:This course provides an introduction to single-cell genomics\, 
 for researchers who have basic experience of bioinformatics and who are pl
 anning a single-cell project. \n\nThe course will consist of a mixture of 
 conceptual and methodological lectures and hands-on bioinformatics session
 s\, including best practice and tips as learned first-hand by Earlham Inst
 itute’s faculty. Participants will gain first-hand experience by learnin
 g how to assess data quality with the guidance of the faculty\, troublesho
 ot small problems\, and review the results. Hands-on sessions will be usin
 g data generated using both Smartseq2 and 10X protocols.\n\nThere will be 
 plenty of opportunities to ask questions\, and an optional group discussio
 n with other participants and the course trainers.\n\nThis course will be 
 delivered in-person at the Earlham Institute\, with the option to join rem
 otely via Zoom.\n\nWhat will I learn?\nUnderstand the different data gener
 ated in scRNAseq experiments and analyses\nLearn how to assess data qualit
 y\nIntroduction and hands-on experience in available tools and resources f
 or analysing and visualising single-cell data\nIntroduction to cell type i
 dentification and pseudotime analyses \nIntroduction to long read sequenci
 ng with application to transcript annotation and quantification in single 
 cell research
LOCATION:Earlham Institute (EI)\, Colney Lane
SUMMARY:Single-Cell RNAseq Data Analysis 2022
URL;VALUE=URI:https://www.earlham.ac.uk/events/single-cell-rnaseq-data-anal
 ysis-2022
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