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DTSTAMP:20260615T140937Z
UID:d5e51c06-9dfa-474f-bdf2-de973b408c1d
DTSTART:20211130T000000Z
DTEND:20240531T000000Z
DESCRIPTION:"It is so nice to be able to do the whole workflow in Chipster\
 , compared to the old model\, where I had to transfer the tsv file to R-st
 udio and run Seurat there. -- I learned how to use the Seurat tools in Chi
 pster and what all the steps really mean. I learned to check the results a
 fter every step to adjust the next steps parameters and to test different 
 PCA plotting tools. I also learned how to find different genes in the clus
 ters and how to visualize them. I never got this far using the R-pipeline.
  "Pinja\, course participant &amp\; PhD student from University of Helsink
 i This e-learning course introduces single-cell RNA-seq data analysis met
 hods and tools to researchers who are planning to use single-cell RNA-seq 
 for their own projects. The course covers the processing of transcript cou
 nts from quality control and filtering to dimensional reduction\, clusteri
 ng\, and differential expression analysis. In addition\, it shows how to d
 o integrated analysis of two samples.You can login to our e-learning platf
 orm\, self-register to the course (enrolment key: scRNAseqChipster) and co
 mplete it any time in July 2023-May 2024! Prerequisites:Basics of single-
 cell RNA sequencing The free* and user-friendly Chipster software is used
  in the exercises\, so no previous knowledge of Unix or R is required\, an
 d the course is thus suitable for everybody who is planning to use single-
 cell RNA-seq.*You need credentials for Chipster\, read more here: https:/
 /chipster.csc.fi/access.shtml You can log in with your institutes credent
 ials (Haka\, Virtu). We also offer 3-week test credentials\, which you can
  use to complete the course.Learning objectives:After this course you shou
 ld be able to:use the Seurat tools available in Chipster to analyze single
 -cell RNA-seq dataname and discuss the different steps of single-cell RNA-
 seq data analysisunderstand the advantages and limitations of single-cell 
 RNA-seq data analysis in general and in ChipsterKeywords: Chipster\, Seura
 t\, single-cell sequencing\, scRNA-seq\, clustering\, cluster marker genes
 Practicalities:Each section of this course contains learning videos\, some
  hands-on exercises and some quizzes/tasks. The tasks can be used to confi
 rm that you have reached the learning goals. Once you have finished all th
 e tasks\, you can download a course certificate with a unique course ident
 ifier. The estimated time to complete the course is 1-3 working days. In t
 he certificate we recommend granting 1 credit (ECTS) for the course. To s
 elf-enrol (key: scRNAseqChipster) in this MOOC course\, please visit our e
 -Lena platform.To self-enroll you need to first login using your HAKA\, Vi
 rtu or ELIXIR AAI credentials. If you do not have one\, please contact eve
 nt-support@csc.fi.Check out the recording from our kick-start webinar for 
 this course:
LOCATION:online
SUMMARY:MOOC: Single-cell RNA-seq data analysis using Chipster
URL;VALUE=URI:https://ssl.eventilla.com/scrnaseqmooc
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