BOL

You can find useful R video tutorial @ http://www.youtube.com/watch?v=iffR3fWv4xw&list=PLOU2XLYxmsIK9qQfztXeybpHvru-TrqAP

RGL: A R-library for 3D visualization with OpenGL http://rgl.neoscientists.org/arc/doc/RGL_INTERFACE03.pdfR by example http://www.mayin.org/ajayshah/KB/R/

useR! 2013 R / Bioconductor for Analysis and Comprehension of High-Throughput Genomic Data http://bioconductor.org/help/course-materials/2013/useR2013/Bioconductor-tutorial.pdf

Describe the GAGE workflows on RNA-Seq data pathway analysis and gene-set analysis.

Introduction to Feature selection for bioinformaticians using R, correlation matrix filters, PCA & backward selection http://computationalproteomic.blogspot.co.uk/2013/10/introduction-to-feature-selection-for.html?

R tutorial by Division of Molecular Biology, Netherlands Cancer Institute http://bioinformatics.nki.nl/courses/Rstat_12_I/texts/resources/R-intro.pdf

Who cares which language is the more popular, programming languages are tools, if it does what I need it to do, it's fine by me.

R is by far the best known open source statistical programming language for bioinformatician. However, you can not ignore MATLAB Bioinformatics Toolbox. I am a big fan of Perl, and love to do all sort of analysis using Perl, therefore I prefer...

Applied Statistics for Bioinformatics using R @ http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf

DotPlot for Protein Sequences using R @ http://www.biogem.org/blog/dotplot-for-protein-sequences-using-r/ Frequency Plot for Protein Sequences using R @ http://www.biogem.org/blog/frequency-plot-for-protein-sequences-using-r/

The book "Applied Statistics for Bioinformatics using R" provide an introduction into statistics in order to solve some problems of bioinformatics.  http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf

In programming sector we generally rely on google for syntex, logic and other support. Now for R language related problems you can search on http://rseek.org/

This site’s mission is to analyze the world of analytics, with a special focus on R. R is free, open source, analytic software that is similar to the “big three” commercial packages: SAS, SPSS and Stata. Find detailed and helpful...

R-tutor.com provide detail tutorial on R http://www.r-tutor.com/

For video R tutorial you can visit youtube http://www.youtube.com/playlist?list=PL69A9CCD816A5F3A5

My favourate place to learn R http://www.cyclismo.org/tutorial/R/

Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences. http://www.bioconductor.org/packages/2.12/bioc/html/Biostrings.html

The interactive interface to learn R language http://tryr.codeschool.com/

HT Sequence Analysis with R and Bioconductor tutorial at http://manuals.bioinformatics.ucr.edu/home/ht-seq

I found one R package SeqinR very handy in statistical computing of NGS data.  SeqinR 2.0-1: a contributed package to the project for statistical computing devoted to biological sequences retrieval and analysis Link...