Hi,
When I first started learning bioinformatics, I read The Biostar Handbook: A Beginner's Guide to Bioinformatics on biostar, which was very helpful to me. However, it seemed to be focused on traditional NGS sequencing.
Now, I'm trying to learn scRNA-seq, and I'm wondering if there is a concise toolbook or manual similar to this book? I know there are many resource, like (https://satijalab.org/seurat/articles/get_started.html), but I'd like to find a book like Handbook: A Beginner's Guide to Bioinformatics on biostar to summary many detail for beginer.
Best Regrads
Zhang
What about "Single-cell best practices" ??
Yeah, It awesome, I am quickly read the book, this book is fantastic, especially the section on basic concepts, but it seems to have a slightly different approach compared to the common R-based workflows (maybe I wong)?
Data is handled a little bit different in python, but also GenoMax 's suggestion is quite good. (Just like their advanced guide: http://bioconductor.org/books/3.13/OSCA.advanced/ )
Thank you and @GenoMax for your help. This is very useful for me
Log in to answer this question.
There is also: https://bioconductor.org/books/release/OSCA/
Based on experts I see at work, going through the steps of processing single cell data is something you will pick up from one of the sites mentioned but once you get into deep analysis there is a lot of subject specific expertise needed to make sense of results/plot one is looking at. So that part is not going to be as easy as traditional NGS.
Thank you for your suggestion. This book seems to be based on R-based workflows, which I think would be perfect for my learning needs.