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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260925T111602Z
UID:9f9561a5-1c0d-4176-b3b2-97b79a274194
DTSTART:20161026T083000Z
DTEND:20161027T160000Z
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\nCourse materials are avail
 able [here](http://hemberg-lab.github.io/scRNA.seq.course/).\n\nPlease not
 e that if you are not eligible for a University of Cambridge [Raven](http:
 //www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book by li
 nking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1
 824788&amp\;course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'
 '
LOCATION:Craik-Marshall Building
SUMMARY:Analysis of single cell RNA-seq data
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/1824788
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