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BEGIN:VEVENT
DTSTAMP:20260619T104205Z
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DTSTART:20190204T090000Z
DTEND:20190207T000000Z
DESCRIPTION: Course name: Single cell RNA sequencing data analysis Course d
 ates: 2019-02-04 to 2019-02-06 Course location: SciLifeLab\, Tomtebodaväg
 en 23A\, 171 65 Solna National course open for PhD students\, postdocs\, r
 esearchers and other employees in need of single cell RNA-seq data analysi
 s skills within all Swedish universities Important dates Application opens
 : December 10 2018 Application closes: January 20 Confirmation to accepted
  students: January 22 Responsible teachers: Åsa Björklund If you do not 
 receive information according to the above dates please contact: asa.bjork
 lund@scilifelab.se Course fee A course fee* of 1700 SEK will be invoiced t
 o accepted participants. This includes lunches\, coffee and course dinner.
 . *Please note that NBIS cannot invoice individuals Course content This co
 urse will cover the basic steps in single cell RNAseq (scRNAseq) processin
 g and data analysis. Topics covered will include: ●An overview of the cu
 rrent scRNAseq techniques ●Basic overview of pipelines for processing ra
 w reads into expression values ●Quality control of scRNAseq data ●Dime
 nsionality reduction and clustering techniques ●Data normalization ●Di
 fferential gene expression for scRNAseq data ●Examples on how to use the
 se tools in a research project. Entry requirements Required for being able
  to follow the course and complete the computer exercises ●Basic knowled
 ge in Linux is a requirement. We will not teach Linux at the course and yo
 u may have considerable trouble to follow the practical sessions if you ar
 e not reasonably used to work in a Linux environment. ●Be able to bring 
 your own laptop with R installed for the practical computational exercises
 . Instructions on installation will be sent by email to accepted participa
 nts. ●Some programming/scripting experience is required (preferably in R
 ). Desirable: ●Experience working on the SNIC center Uppmax is desirable
 \, but not required. We encourage accepted participants to do an Uppmax tu
 torial before the course. ●Previous experience with RNA-seq analysis and
 /or participation in NGS/RNA-seq course is an advantage. Due to limited sp
 ace the course can accommodate maximum of 25 participants. If we receive m
 ore applications\, participants will be selected based on several criteria
 . Selection criteria include correct entry requirements\, motivation to at
 tend the course as well as gender and geographical balance. Link to applic
 ation: https://goo.gl/forms/0x9ssllId5Jxn9dB3
SUMMARY:Course: single-cell RNA sequencing data analysis
URL;VALUE=URI:https://www.google.com/calendar/event?eid=MnBudHNuczJjMjA0c25
 sZWM0YzhqODN0YnIgYmlscy5lbGl4aXJAbQ
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