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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260619T020036Z
UID:446eeef8-6c76-4574-bf32-8df7322918a7
DTSTART:20221007T090000Z
DTEND:20221007T160000Z
DESCRIPTION:This hands-on course in Zoom introduces single-cell RNA-seq (sc
 RNA-seq) data analysis methods. It covers the processing of transcript cou
 nts from quality control and filtering to dimensional reduction\, clusteri
 ng\, cell type identification and cluster marker gene detection. You will 
 also learn how to do integrated analysis of multiple samples.In addition y
 ou can choose an optional spatial transcriptomics module\, which takes pla
 ce 25.10.2022 at 9:00 - 12:00. This module covers the analysis of Visium d
 ata.Please note that you are most welcome to attend also the Single cell t
 ranscriptomics symposium in Biomedicum Helsinki 5.10.2022.PracticalitiesTh
 e course consists of lectures and exercises. The lectures will be pre-reco
 rded\, and participants are requested to view the videos prior to the cour
 se and test their knowledge with a set of questions. This gives you more t
 ime to reflect on the concepts so that you can use the classroom time more
  efficiently for discussions and exercises.PrerequisitiesIn the exercises 
 we use Seurat tools embedded in the free and user-friendly Chipster softwa
 re\, so no experience in R is required\, and the course is thus suitable f
 or everybody who is planning to use single-cell RNA-seq.ContentYou will le
 arn how toperform quality control and filter out low quality cellsnormaliz
 e gene expression valuesremove unwanted sources of variationselect highly 
 variable genes and perform dimensionality reduction (PCA)cluster cellsvisu
 alize clusters using UMAP and tSNEidentify cell typesfind marker genes for
  a clusterintegrate multiple samplesfind conserved cluster marker genes fo
 r two samplesfind genes which are differentially expressed between two sam
 ples in a cell type specific mannervisualize genes with cell type specific
  responses in two samplesDuring the optional spatial transcriptomics modul
 e on 25.10.2022 you will practise the corresponding analysis steps for Vis
 ium data. In addition you will learn how to identify genes which have spa
 tial patterning without taking clusters or spatial annotation into account
 subset out anatomical regionsintegrate spatial data with single-cell dataC
 ourse materials (slides\, exercises\, lecture videos)Single-cell RNA-seq d
 ata analysisSpatially resolved transcriptomics (Visium) data analysisTrain
 ersMaria Lehtivaara\, Eija Korpelainen and Iida Hakulinen (CSC)Price60 eu
 ros for 7.10.2022\, additional 30 euros for the optional spatial transcipt
 omics module on 25.10.2022.More informationShould you have any questions\,
  please don't hesitate to contact chipster@csc.fi.
LOCATION:Online
SUMMARY:Single-cell and spatial RNA-seq data analysis using Chipster
URL;VALUE=URI:https://ssl.eventilla.com/single-cell_spatial_chipster
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