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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260407T193932Z
UID:b6ffcafd-9d6d-4097-9969-2d094a602d5b
DTSTART:20220617T083000Z
DTEND:20220701T163000Z
DESCRIPTION:Recent technological advances have made it possible to obtain g
 enome-wide transcriptome data from single cells using high-throughput sequ
 encing (scRNA-seq). Even though scRNA-seq makes it possible to address pro
 blems that are intractable with bulk RNA-seq data\, analysing scRNA-seq is
  also more challenging. \n\nIn this course we will be surveying the existi
 ng problems as well as the available computational and statistical framewo
 rks available for the analysis of scRNA-seq.\n\nPlease note that if you ar
 e not eligible for a University of Cambridge Raven account you will need t
 o book or register your interest by linking [here](http://bioinfotraining.
 bio.cam.ac.uk/booking-form/?event-id=4306409&amp\;&amp\;course-title=Analy
 sis%20of%20single%20cell%20RNA-seq%20data).''
LOCATION:Craik-Marshall Building
SUMMARY:Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4306409
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