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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260711T141934Z
UID:cff6ca59-17a1-4be4-85fa-a26104c49c68
DTSTART:20170316T093000Z
DTEND:20170317T170000Z
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\nThe course website providi
 ng links to the course materials can be found [here](http://hemberg-lab.gi
 thub.io/scRNA.seq.course/index.html).\n\nPlease note that if you are not e
 ligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/doc
 s/faq/raven/n5) account you will need to book by linking [here](http://bio
 infotraining.bio.cam.ac.uk/booking-form/?event-id=1923637&amp\;&amp\;cours
 e-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/1923637
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