A Tidy Transcriptomics introduction to bulk and scRNA sequencing analyses
Details
We are delighted to get back to the R4Bioinfo series that we've launched in September 2020. We will be organizing a new workshop which will serve as a Tidy Transcriptomics introduction to bulk and scRNA sequencing analyses.
Date/Time: Saturday, April 9, 2021 from 10 AM to 12:15 PM (GMT+1)
Place: Zoom https://zoom.us/download
▶️ Invited trainers: Dr. Stefano Mangiola and Dr. Maria Doyle
▶️ About Dr. Stefano Mangiola:
Dr. Stefano Mangiola is currently a Postdoctoral researcher in the laboratory of Prof. Tony Papenfuss. His background spans from biotechnology to bioinformatics and biostatistics. His research focuses on prostate and breast tumour microenvironment, the development of statistical model for the analysis of RNA sequencing data, and data analysis and visualisation interfaces.
▶️ About Dr. Maria Doyle:
Dr. Maria Doyle is the Application and Training Specialist for Research Computing at the Peter MacCallum Cancer Centre in Melbourne, Australia. She has a PhD in Molecular Biology and currently works in bioinformatics and data science education and training. She is passionate about supporting researchers, reproducible research, open source and tidy data.
▶️ About the workshop:
This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm (Wickham and others 2014). The tidy data paradigm provides a standard way to organise data values within a dataset, where each variable is a column, each observation is a row, and data is manipulated using an easy-to-understand vocabulary. Most importantly, the data structure remains consistent across manipulation and analysis functions.
This can be achieved for RNA sequencing data with the tidybulk, tidyHeatmap (Mangiola and Papenfuss 2020) and tidyverse (Wickham et al. 2019) packages. The tidybulk package provides a tidy data structure and a modular framework for bulk transcriptional analyses. tidyHeatmap provides a tidy implementation of ComplexHeatmap. These packages are part of the tidytranscriptomics suite that introduces a tidy approach to RNA sequencing data representation and analysis. The last section of the workshop will be focused on the analysis of single cell data in a tidy fashion with the packages tidySCE and tidyseurat.
The topics presented in this workshop will be:
▪️ Data exploration
▪️ Data dimensionality reduction and clustering
▪️ Differential gene expression analysis
▪️ Data visualisation
In order to attend the event, please fill out this form 👉 https://tinyurl.com/y88sxkos
We will send you the Zoom link and the enter passcode a few hours before the training session. Please check out your email later.
Don't forget to add the meetup to your calendar so that you get a reminder about it.
We look forward to welcoming you!
If you have any questions, please don't hesitate to contact us ⬇️
▪️ Email : tunis@rladies.org
▪️ LinkedIn : https://tinyurl.com/y8hlt5np
▪️ Meetup : https://www.meetup.com/rladies-tunis/
▪️ Twitter : https://twitter.com/RLadiesTunis
▪️ Instagram : https://www.instagram.com/rladiestunis/
▪️ YouTube_Channel : https://tinyurl.com/ycm48c6w
▪️ Github : https://github.com/rladiestunis
▪️ Facebook : https://www.facebook.com/RLadiesTunis/