Register event
Subscribe to Filter
Importing into Google Calendar
In the left-hand column of the Google Calendar main view, click the arrow to the right of "Other calendars" and click "Add by URL". In the form that appears, paste in the URL from the box above, and click the button to confirm.
Please note, it may take a while for newly created events in DReSA to synchronise with your Google Calendar.
1 event found
Keywords: single cell RNA-seq analysis
-
WORKSHOP: Single cell RNAseq analysis in R
26 - 27 September 2023
WORKSHOP: Single cell RNAseq analysis in R https://www.biocommons.org.au/events/scrnaseq2023 https://dresa.org.au/events/workshop-single-cell-rnaseq-analysis-in-r-020220f0-c529-4c0c-9cef-5a426d49126d Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you 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. We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data. **Lead trainers:** Dr Sarah Williams, QCIF Mr Nick Matigan, QCIF Ms Adele Baraguhare, Monash Bioinformatics Platform Dr Paul Harrison, Monash Bioinformatics Platform Dr Laura Perlaza Jimenez, Monash Bioinformatics Platform Dr Valentine Murigneux, QCIF Dr Magdalena (Magda) Antczak, QCIF **Format:** This online workshop will take 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. **Date/Time:** 26 and 27 September 2023, 1 - 4:30 pm AEST/ 12:30 - 4 pm ACST/ 11 am - 2:30 pm AWST **Location:** Online **Learning outcomes:** By the end of the workshop you should be able to: 1. Load gene counts into a Seurat format 2. Perform QC and select cells for further analysis 3. Filter and normalise scRNAseq data 4. Cluster cells and identify cluster markers 5. Visualise scRNAseq expression data **Who the workshop is for:** This workshop is for Australian researchers who have or will work on scRNAseq data as part of their projects. You must be associated with an Australian organisation for your application to be considered. This workshop will not teach you the basics of R. While you don’t need to be an expert, you require some basic familiarity with R. For example you should be able to work with tables of data, know how to load an R package, make basic plots (ideally with ggplot2). You should also have basic knowledge of single cell RNA sequencing technology. **How to apply:** **[Apply here](https://biocommons-scrnaseq2023.eventbrite.com.au/)** This workshop is free but participation is subject to application with selection. Applications close at 11:59pm AEDT, Monday 11 September 2023. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://biocommons-scrnaseq2023.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/),[ Queensland Cyber Infrastructure Foundation (QCIF)](https://www.qcif.edu.au/) and the[ Monash Bioinformatics Platform](https://www.monash.edu/researchinfrastructure/bioinformatics) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _ \ 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 BioCommons._ 2023-09-26 13:00:00 UTC 2023-09-27 16:30:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] 50 [] expression_of_interest scRNAseqsingle cell RNA-seq analysis
-
WORKSHOP: Single cell RNAseq analysis in R
26 - 27 September 2023
WORKSHOP: Single cell RNAseq analysis in R https://www.biocommons.org.au/events/scrnaseq2023 https://dresa.org.au/events/workshop-single-cell-rnaseq-analysis-in-r-020220f0-c529-4c0c-9cef-5a426d49126d Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you 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. We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data. **Lead trainers:** Dr Sarah Williams, QCIF Mr Nick Matigan, QCIF Ms Adele Baraguhare, Monash Bioinformatics Platform Dr Paul Harrison, Monash Bioinformatics Platform Dr Laura Perlaza Jimenez, Monash Bioinformatics Platform Dr Valentine Murigneux, QCIF Dr Magdalena (Magda) Antczak, QCIF **Format:** This online workshop will take 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. **Date/Time:** 26 and 27 September 2023, 1 - 4:30 pm AEST/ 12:30 - 4 pm ACST/ 11 am - 2:30 pm AWST **Location:** Online **Learning outcomes:** By the end of the workshop you should be able to: 1. Load gene counts into a Seurat format 2. Perform QC and select cells for further analysis 3. Filter and normalise scRNAseq data 4. Cluster cells and identify cluster markers 5. Visualise scRNAseq expression data **Who the workshop is for:** This workshop is for Australian researchers who have or will work on scRNAseq data as part of their projects. You must be associated with an Australian organisation for your application to be considered. This workshop will not teach you the basics of R. While you don’t need to be an expert, you require some basic familiarity with R. For example you should be able to work with tables of data, know how to load an R package, make basic plots (ideally with ggplot2). You should also have basic knowledge of single cell RNA sequencing technology. **How to apply:** **[Apply here](https://biocommons-scrnaseq2023.eventbrite.com.au/)** This workshop is free but participation is subject to application with selection. Applications close at 11:59pm AEDT, Monday 11 September 2023. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://biocommons-scrnaseq2023.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/),[ Queensland Cyber Infrastructure Foundation (QCIF)](https://www.qcif.edu.au/) and the[ Monash Bioinformatics Platform](https://www.monash.edu/researchinfrastructure/bioinformatics) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _ \ 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 BioCommons._ 2023-09-26 13:00:00 UTC 2023-09-27 16:30:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] 50 [] expression_of_interest scRNAseqsingle cell RNA-seq analysis
Note, this map only displays events that have geolocation information in
DReSA.
For the complete list of events in DReSA, click the grid tab.