BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T230101Z
UID:dd48ac99-d11e-4bc5-9176-4c58d7d63e87
DTSTART:20190415T083000Z
DTEND:20190417T113000Z
DESCRIPTION:RNA-Seq technology has been transformative in our ability to ex
 plore gene content and gene expression in all realms of biology\, and de n
 ovo transcriptome assembly has enabled opportunities to expand transcripto
 me analysis to non-model organisms.  \n\nThis course provides an overview 
 of modern applications of transcriptome sequencing and popular tools\, and
  algorithms\, for exploring transcript reconstruction and expression analy
 sis in a genome-free manner. \n\nAttendees will perform quality assessment
  and upstream analysis of both Illumina and long reads single molecule seq
 uencing data\; the derived transcriptomes will be compared\, annotated and
  used as reference for quantifying transcript expression\, leveraging on B
 ioconductor tools for differential expression analysis. Additional methods
  will be explored for characterising the assembled transcriptome and revea
 ling biological findings.\n\nThe training room is located on the first flo
 or and there is currently no wheelchair or level access available to this 
 level.\n\nPlease note that if you are not eligible for a University of Cam
 bridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you wil
 l need to book or register your interest by linking [here](http://bioinfot
 raining.bio.cam.ac.uk/booking-form/?event-id=2846751&amp\;course-title=Tra
 nscriptome%20Analysis%20for%20Non-Model%20Organisms).''
LOCATION:Craik-Marshall Building
SUMMARY:Transcriptome Analysis for Non-Model Organisms
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/2846751
END:VEVENT
END:VCALENDAR