Thread by @lobrowR

I've compiled a short list of #rstats -based #bioinformatics and computational biology books and tutorials. (THREAD)
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A cool-looking freebie: "A Little Book of R for Bioinformatics!" by Avril Coglan
…f-r-for-bioinformatics.readthedocs.io/en/latest/

Topics include: Alignment, Multiple alignment, phylo trees, gene finding, comparative genomics, HMM, protein-protein interactions
All #rstats code in the document.
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Coglan "Little book of R for Bioinformatics" (shorturl.at/bwD45) frequently references Cristianini and Hahn's (@3rdreviewer). "Introduction to Computational Genetics: A Case Study Approach"
…utationalgenomics.blogs.bristol.ac.uk/book
MatLab code on their website
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A fully #rstats enabled #bioinformatics textbook is "Pevsner 2015. @JonathanPevsner Bioinformatics and functional genomics 3rd ed."
3 sections: Bioinformatics, Functional Genomics, Genomics.
bioinfbook.org/php/?q=book3
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"Dave Tang’s Blog" by @davetang31 has good #rstats tutorials for #bioinformatics
davetang.org/muse/2013/05/0…
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"Applied Statistics for Bioinformatics using R "
cran.r-project.org/doc/contrib/Kr… has technical-focused stats info on topics such as Microarrays, clustering, markov models
#rstats
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A cool new stats book useful for #bioinformatics and computational biology is by Holmes and Huber. @SherlockpHolmes @wolfgangkhuber "Modern statistics for modern biology"
Topics include: Multivariate stats, trees, networks, machine learning
web.stanford.edu/class/bios221/…
#rstats
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@SherlockpHolmes @wolfgangkhuber Another #rstats -powered #bioinformatics / comp bio book:
"Molecular Data Analysis Using R"
by @OrtutayCsaba and Zsuzsanna Ortutay
haven't check it out yet but has a diverse coverage of topics including RNA seq, networks, proteomics
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