Thread by @BioinfoCreed

Learning R is an essential step for practicing Bioinformatics.
Here are 10 resources that will help you with R... 👇🧵

#Rstats #Bioinformatics #Biology #programming

(1). R for Data Science: r4ds.had.co.nz
Covers various topics for data analysis, visualization and programming with R

(2). An Introduction to R: cran.r-project.org/doc/manuals/R-…

An R manual from CRAN that covers basic and advanced R topics

(3). Computational Genomics with R: compgenomr.github.io/book/

A comprehensive resource containing practical and theoretical aspects of computational genomics in R

(4). R Gallery Book: bookdown.org/content/b298e4…

A complete guide for data visualisation types and codes in R

(5). Advanced R: adv-r.hadley.nz

Designed primarily for R users who want to improve their programming skills

(6). R Graphics Cookbook: r-graphics.org

Comprehensive practical guide for generating high-quality graphs with R

(7). Hands-On Programming with R: rstudio-education.github.io/hopr/

This book will teach you how to program in R, with hands-on examples and provides a friendly introduction to the R language.

(8). A Little Book of R for Bioinformatics: brouwern.github.io/lbrb/

A simple introduction to bioinformatics and genome analysis using R

(9). Efficient R programming: bookdown.org/csgillespie/ef…

Provides many resources for visualisation, data science and package development in R

(10). Big Book of R: bigbookofr.com/index.html

Finally, this resource is considered the "Your last-ever bookmark" in R as it contains a various collection of R resoruces including Genomics and Bioinformatics

Thanks for following!
Please RT and feel free to suggest any additional resources that you find useful for learning R