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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T162229Z
UID:cbda79fe-3e5a-443c-8348-bb6e47cc545e
DTSTART:20160622T083000Z
DTEND:20160622T160000Z
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\nMaterials for this course 
 can be found [here](http://hemberg-lab.github.io/scRNA.seq.course/index.ht
 ml).\n\nPlease note that if you are not eligible for a University of Cambr
 idge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will 
 need to Book by linking [here](http://marstons.bio.cam.ac.uk/course-bookin
 g/?CourseID=Analysis%20of%20single%20cell%20RNA-seq%20data_bioinfo-scRNAse
 q_1755391_22.06.2016&amp\;CourseName=Analysis%20of%20single%20cell%20RNA-s
 eq%20data&amp\;CourseDate=22.06.2016&amp\;CourseDuration=1&amp\;EventID=17
 55391).''
LOCATION:Craik-Marshall Building
SUMMARY:Analysis of single cell RNA-seq data
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/1755391
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