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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260809T062729Z
UID:bc02b6bd-c2d4-4c6c-8b6c-024575e7b496
DTSTART:20210301T093000Z
DTEND:20210305T173000Z
DESCRIPTION:PLEASE NOTE The Bioinformatics Team are presently teaching as m
 any courses live online\, with tutors available to help you work through t
 he course material on a personal copy of the course environment. We aim to
  simulate the classroom experience as closely as possible\, with opportuni
 ties for one-to-one discussion with tutors and a focus on interactivity th
 roughout.\n\nRNA-Seq technology has been transformative in our ability to 
 explore gene content and gene expression in all realms of biology\, and de
  novo transcriptome assembly has enabled opportunities to expand transcrip
 tome analysis to non-model organisms.  \n\nThis course provides an overvie
 w of modern applications of transcriptome sequencing and popular tools\, a
 nd algorithms\, for exploring transcript reconstruction and expression ana
 lysis in a genome-free manner. \n\nAttendees will perform quality assessme
 nt and upstream analysis of both Illumina and long reads single molecule s
 equencing data\; the derived transcriptomes will be compared\, annotated a
 nd used as reference for quantifying transcript expression\, leveraging on
  Bioconductor tools for differential expression analysis. Additional metho
 ds will be explored for characterising the assembled transcriptome and rev
 ealing biological findings.\n\nPlease note that if you are not eligible fo
 r a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/rave
 n/n5) account you will need to book or register your interest by linking [
 here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3803220&
 amp\;course-title=Transcriptome%20Analysis%20for%20Non-Model%20Organisms).
 ''
LOCATION:Craik-Marshall Building
SUMMARY:Transcriptome Analysis for Non-Model Organisms (ONLINE LIVE TRAININ
 G)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3803220
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