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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260711T112143Z
UID:52312054-81dc-4d2c-bf5c-da3a671aa908
DTSTART:20200420T080000Z
DTEND:20200424T230000Z
DESCRIPTION:The course will provide an introduction to Single-Cell Genomics
  for bench-based researchers with no required prior experience of computat
 ional data analysis. It covers several aspects such as the experimental de
 sign\, cell sorting and processing for production of high-quality samples 
 for sequencing\, generation of sequencing data\, assessing the quality of 
 sequence data\, data visualisation\, differential expression analyses and 
 identifying Copy Number Variations at the single-cell level.\n\nOptions wh
 en applying are:\nSingle-Cell RNAseq Course (Mon-Fri: lab and bioinformati
 cs @800)\nSingle-Cell RNAseq Bioinformatics only (Weds-Fri @£300)
LOCATION:Earlham Institute (EI)\, Colney Lane
SUMMARY:Single-Cell RNAseq Training Course 2020 - POSTPONED
URL;VALUE=URI:https://www.earlham.ac.uk/single-cell-rnaseq-2020
END:VEVENT
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