Friday, May 12, 2017

R learning materials and computational biology

Online courses

Github applied computational genomics
https://github.com/quinlan-lab/applied-computational-genomics

https://github.com/BenLangmead/comp-genomics-class


R programing at Coursera
https://www.coursera.org/learn/r-programming

Data camp https://www.datacamp.com/ 
 introduction, intermediate, and advanced R

Statistics and R
https://www.edx.org/course/statistics-r-harvardx-ph525-1x

http://genomicsclass.github.io/book/pages/classes.html
https://courses.edx.org/courses/HarvardX/PH525.1x/1T2015/info

Quantitative biology workshop
https://www.edx.org/course/quantitative-biology-workshop-mitx-7-qbwx-2

Introduction to Bioconductor: annotation and analysis of genomes and genomics assays
https://www.edx.org/course/introduction-bioconductor-annotation-harvardx-ph525-5x

https://cgondro2.une.edu.au/Rcourse.htm
http://www.springer.com/us/book/9783319144740 . R book, primer to analysis of genomics data using R


Books and articles
An introduction to statistical learning with applications in R
http://www-bcf.usc.edu/~gareth/ISL/index.html


References:
http://hongqinlab.blogspot.com/2013/10/useful-r-materials-for-teaching.html
http://hongqinlab.blogspot.com/2015/06/ngs-tutorials.html


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