Tutorial:Guidelines for the computational analysis of single-cell RNA sequencing data

Question

[Mensur Dlakic]

Here is a recent paper that may be of general interest:

https://www.nature.com/articles/s41596-020-00409-w

Answer 1

[ATpoint]

Thanks for sharing this.

My personal suggestion towards a must-read for scRNA-seq would be the extensive and comprehensive http://bioconductor.org/books/release/OSCA/. This book contains example code, explanations and discussions plus hands-on guidance using several example datasets which can be easily loaded via the scRNAseq package without the need to do any low-level processing. From this on you can dive into the vignettes of the suggested tools and start building an analysis pipeline suiting your needs. Also worth a read are these SingleCellThoughts from Aaron Lun: https://ltla.github.io/SingleCellThoughts/