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VERSION:2.0
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BEGIN:VEVENT
DTSTAMP:20260614T145435Z
UID:9d8b9fbd-9d68-4ffd-9554-189a37debb4b
DTSTART:20220822T030000Z
DTEND:20220823T070000Z
DESCRIPTION:Analysis and interpretation of single cell RNAseq (scRNAseq) da
 ta requires dedicated workflows. In this hands-on workshop we will show yo
 u how to perform single cell analysis using[ Seurat](https://satijalab.org
 /seurat/index.html) - an R package for QC\, analysis\, and exploration of 
 single-cell RNAseq data. \n\nWe will discuss the ‘why’ behind each ste
 p and cover reading in the count data\, quality control\, filtering\, norm
 alisation\, clustering\, UMAP layout and identification of cluster markers
 . We will also explore various ways of visualising single cell expression 
 data.\n\n**Lead trainers:**\n\nDr Sarah Williams\, Senior Bioinformatician
 \, QCIF\n\nMr Nick Matigan\, Biostatistician and Bioinformatician\, QCIF\n
 \nDr Ahmed Mehdi\, Senior Biostatistician\, QCIF\n\n**Format**\n\nThis onl
 ine workshop will take place over two half-day sessions. You must attend b
 oth sessions. Expert trainers will guide you through each of the topics an
 d provide activities to help you put your new skills into action. \n\n**Da
 te/Time:** 22 and 23 August 2022\, 1-5pm AEST/ ACST/AWST\n\n**Location:** 
 Online\n\n**Learning outcomes:**\n\nBy the end of the workshop you should 
 be able to:\n\n1. Load gene counts into a Seurat format\n2. Perform QC and
  select cells for further analysis\n3. Filter and normalise scRNAseq data\
 n4. Cluster cells and identify cluster markers\n5. Visualise scRNAseq expr
 ession data\n\n**Who the workshop is for:**\n\nThis workshop is for Austra
 lian researchers who have or will work on scRNAseq data as part of their p
 rojects. You must be associated with an Australian organisation for your a
 pplication to be considered.\n\nThis workshop will not teach you the basic
 s of R. While you don’t need to be an expert\, you require some basic fa
 miliarity with R. For example you should be able to work with tables of da
 ta\, know how to load an R package\, make basic plots (ideally with ggplot
 2).\n\nYou should also have basic knowledge of single cell RNA sequencing 
 technology.  \n\n**How to apply:**\n\nThis workshop is free but participat
 ion is subject to application with selection. \n\nApplications will be rev
 iewed by the organising committee and all applicants will be informed of t
 he status of their application (successful\, waiting list\, unsuccessful).
  Successful applicants will be provided with a Zoom meeting link closer to
  the date.\n\nApplications close at **11:59pm AEDT\, Wednesday 10 August 2
 022**.\n\n**[Apply here](https://biocommons-scrnaseq.eventbrite.com.au/)**
 \n\n_This workshop is presented by the[ Australian BioCommons](https://www
 .biocommons.org.au/) and[ Queensland Cyber Infrastructure Foundation (QCIF
 )](https://www.qcif.edu.au/) with the assistance of a network of facilitat
 ors from the national[ Bioinformatics Training Cooperative](https://www.bi
 ocommons.org.au/training-cooperative)._\n\n_This event is part of a series
  of[ bioinformatics training events](https://www.biocommons.org.au/events)
 . If you'd like to hear when registrations open for other events\, please[
  subscribe](https://www.biocommons.org.au/subscribe) to Australian BioComm
 ons_\n
SUMMARY:WORKSHOP: Single cell RNAseq analysis in R
URL;VALUE=URI:https://www.biocommons.org.au/events/scrnaseq
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