RNA-seq data analysis

RNA-seq data analysis

by Eija Korpelainen

Part of Chapman & Hall/CRC mathematical and computational biology series

Join Readfeed freeFind clubs reading this
Rate this book:

Browse books you can read free on Readfeed

No club is reading this yet — be the first to start one

1 readers worldwide want to read this book

Start a club free
About
"RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, transcripts, and whole transcriptomes. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools. The book also provides examples using command line tools and the R statistical environment. For non-programming scientists, the same examples are covered using open source software with a graphical user interface"--

Discuss RNA-seq data analysis with other readers

Join or start a book club for RNA-seq data analysis on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Sign up freeBrowse book clubs

Frequently asked questions

How do I join a book club for RNA-seq data analysis?

Sign up free on Readfeed, then browse public clubs or start your own club with RNA-seq data analysis as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss RNA-seq data analysis with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about RNA-seq data analysis with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.