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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T235336Z
UID:8052ed3a-1137-4b80-85d6-9b35ce1c17b5
DTSTART:20171031T093000Z
DTEND:20171101T170000Z
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\nThe training room is located on t
 he first floor and there is currently no wheelchair access to this level.\
 n\nPlease note 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 clicking [here](http://bioinfotraining.bio.cam.ac.uk/booking-fo
 rm/?event-id=2184854&amp\;&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/2184854
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