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DTSTAMP:20260527T092012Z
UID:d7827c9d-51d5-4991-bb99-552352a63033
DTSTART:20260728T030000Z
DTEND:20260729T063000Z
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 RNAseq analysis using [Seurat](https://satija
 lab.org/seurat/index.html)\, [Harmony](https://github.com/immunogenomics/h
 armony) and [Single R](https://bioconductor.org/packages/release/bioc/html
 /SingleR.html) \\- R packages for QC\, analysis\, and exploration of singl
 e-cell RNAseq data. \n\nWe will discuss the ‘why’ behind each step and
  cover reading in the count data\, quality control\, filtering\, normalisa
 tion\, clustering\, UMAP layout and identification of cluster markers. We 
 will also explore various ways of visualising single cell expression data.
 \n\n**Learning outcomes:**\n\nBy the end of the workshop you should be abl
 e to:\n\n* Load gene counts into a Seurat format  \n* Perform QC and selec
 t cells for further analysis  \n* Filter and normalise scRNAseq data  \n* 
 Cluster cells and identify cluster markers  \n* Visualise scRNAseq express
 ion data  \n* Perform differential expression analysis\n\n\n\n\n**Lead Tra
 iners:** \n\nDr Sarah Williams\, Senior Bioinformatician\, QCIF Digital Re
 search.\n\nFred Jaya\, Senior Bioinformatician (Australian BioCommons)\, S
 ydney Informatics Hub\, University of Sydney.\n\n**Date/Time**: 28 \\- 29 
 July 2026\, 1 \\- 4:30 pm AEST/ 12:30 \\- 4pm ACST/ 11am \\- 2:30 pm AWST 
  \n([Check in your timezone](https://www.timeanddate.com/worldclock/fixedt
 ime.html?msg=Single+cell+RNAseq+analysis+in+R+2026&amp\;iso=20260728T13&am
 p\;p1=152&amp\;ah=3&amp\;am=30))\n\n**Location:** Online\n\n**Format:** Th
 is online workshop will take place over two half-day sessions. You must at
 tend both sessions. Expert trainers will guide you through each of the top
 ics and provide hands-on activities to help you put your new skills into a
 ction. \n\n**Who the workshop is for:**\n\nThis workshop is for Australian
  researchers in academia\, government or industry who are or will work wit
 h scRNAseq data as part of their projects. You must be associated with an 
 Australian organisation for your application to be considered.\n\n*Prerequ
 isites*\n\nThis workshop requires some basic familiarity with R.\n\nWhile 
 you don’t need to be an expert\, you should be able to work with tables 
 of data\, know how to load an R library and make basic plots (ideally with
  ggplot2).\n\nYou should also have basic knowledge of single cell RNA sequ
 encing technology.  \n\n**How to apply:**\n\nThis workshop is free but par
 ticipation is subject to application with selection. \n\n[**Apply here**](
 https://scRNAseq2026.eventbrite.com.au)\n\nApplications close at **11:59 p
 m AEST\, 13 July 2026**.\n\nApplications will be reviewed by the organisin
 g committee and all applicants will be informed of the status of their app
 lication (successful\, waiting list\, unsuccessful). \n\nSuccessful applic
 ants will be provided with a Zoom meeting link closer to the date. More in
 formation on the selection process is provided in our [Advice on applying 
 for Australian BioCommons workshops.](https://www.biocommons.org.au/worksh
 op-applications)\n\n*This workshop is presented by [Australian BioCommons]
 (https://www.biocommons.org.au/)\, QCIF\, Sydney Informatics Hub\, and Mon
 ash Genomics and Bioinformatics Platform with the assistance of a network 
 of facilitators from the national [Bioinformatics Training Cooperative](ht
 tps://www.biocommons.org.au/training-cooperative).*\n\n*This event is part
  of a series of [bioinformatics training events](https://www.biocommons.or
 g.au/webinars-workshops). If you'd like to hear when registrations open fo
 r other events\, please [subscribe](https://www.biocommons.org.au/subscrib
 e) to the Australian BioCommons newsletter*
SUMMARY:WORKSHOP: Single cell RNAseq analysis in R
URL;VALUE=URI:https://www.biocommons.org.au/events/scrnaseq-2026
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