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SUMMARY:Analysing the transcriptome of cells: computational challenges and
  applications of single cell RNA-sequencing - Dr Catalina Vallejos (MRC Bi
 ostatistics Unit &amp\; EMBL-EBI) &amp\; Dr Antonio Scialdone (EMBL-EBI)
DTSTART:20160217T183000Z
DTEND:20160217T200000Z
UID:TALK64309@talks.cam.ac.uk
CONTACT:Mark Dunning
DESCRIPTION:Single-cell RNA-sequencing (scRNA-seq) is a robust assay allow
 ing transcriptional profiling\nof hundreds of single cells in culture and 
 primary tissues. The insights offered by single-cell\ntranscriptomes have 
 helped address many biological questions where standard bulk\nsequencing i
 s not effective. However\, scRNA-seq still presents experimental and compu
 tional\nchallenges. New methods are required to disentangle the biological
  signal of interest from\ntechnical noise. The speakers will present an ov
 erview of techniques used in single cell\ntranscriptomics\, focusing on a 
 new statistical model\, BASiCS\, (Bayesian Analysis of Single-Cell\nSequen
 cing Data). This was recently introduced to analyse scRNA-seq data by simu
 ltaneously\nremoving technical noise and downstream analyses. Finally\, da
 ta generated from mouse\nembryos will be discussed\, showing how single-ce
 ll transcriptome analysis can help unravel\nthe mechanisms of cell fate de
 cision. 
LOCATION:Postdoc Centre\, 16 Mill Lane
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