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DTSTAMP:20260715T204218Z
UID:5aefe9a2-1de2-4687-a7e5-ef56d87e4460
DTSTART:20230926T030000Z
DTEND:20230927T063000Z
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\, QCIF\n\nMr Nick Matigan
 \, QCIF\n\nMs Adele Baraguhare\, Monash Bioinformatics Platform\n\nDr Paul
  Harrison\, Monash Bioinformatics Platform\n\nDr Laura Perlaza Jimenez\, M
 onash Bioinformatics Platform\n\nDr Valentine Murigneux\, QCIF\n\nDr Magda
 lena (Magda) Antczak\, QCIF\n\n**Format:**\n\nThis online workshop will ta
 ke place over two half-day sessions. You must attend both sessions. Expert
  trainers will guide you through each of the topics and provide activities
  to help you put your new skills into action. \n\n**Date/Time:** 26 and 27
  September 2023\, 1 - 4:30 pm AEST/ 12:30 - 4 pm ACST/ 11 am - 2:30 pm AWS
 T\n\n**Location:** Online\n\n**Learning outcomes:**\n\nBy the end of the w
 orkshop 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 norma
 lise scRNAseq data\n4. Cluster cells and identify cluster markers\n5. Visu
 alise scRNAseq expression data\n\n**Who the workshop is for:**\n\nThis wor
 kshop is for Australian researchers who have or will work on scRNAseq data
  as part of their projects. You must be associated with an Australian orga
 nisation for your application to be considered.\n\nThis workshop will not 
 teach you the basics of R. While you don’t need to be an expert\, you re
 quire some basic familiarity with R. For example you should be able to wor
 k with tables of data\, know how to load an R package\, make basic plots (
 ideally with ggplot2).\n\nYou should also have basic knowledge of single c
 ell RNA sequencing technology.  \n\n**How to apply:**\n\n**[Apply here](ht
 tps://biocommons-scrnaseq2023.eventbrite.com.au/)**\n\nThis workshop is fr
 ee but participation is subject to application with selection.\n\nApplicat
 ions close at 11:59pm AEDT\, Monday 11 September 2023.\n\nYou must be asso
 ciated with an Australian organisation and provide an appropriate organisa
 tional email address for your application to be considered.\n\nApplication
 s will be reviewed by the organising committee and all applicants will be 
 informed of the status of their application (successful\, waiting list\, u
 nsuccessful). Successful applicants will be provided with a Zoom meeting l
 ink closer to the date. More information on the selection process is provi
 ded in our[ Advice on applying for Australian BioCommons workshops.](https
 ://www.biocommons.org.au/workshop-applications)\n\n**[Apply here](https://
 biocommons-scrnaseq2023.eventbrite.com.au/)**\n\n_This workshop is present
 ed by the[ Australian BioCommons](https://www.biocommons.org.au/)\,[ Queen
 sland Cyber Infrastructure Foundation (QCIF)](https://www.qcif.edu.au/) an
 d the[ Monash Bioinformatics Platform](https://www.monash.edu/researchinfr
 astructure/bioinformatics) with the assistance of a network of facilitator
 s from the national[ Bioinformatics Training Cooperative](https://www.bioc
 ommons.org.au/training-cooperative)._\n\n_ \\\nThis event is part of a ser
 ies of[ bioinformatics training events](https://www.biocommons.org.au/even
 ts). If you'd like to hear when registrations open for other events\, plea
 se[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioC
 ommons._
SUMMARY:WORKSHOP: Single cell RNAseq analysis in R
URL;VALUE=URI:https://www.biocommons.org.au/events/scrnaseq2023
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