Resources

#0-vii. Resources

1. Recommended Reading and RNA-seq Resources

• RNA-seqlopedia (Includes a very comprehensive review of library construction concepts)
• RNA Sequencing and Analysis
• Comparative analysis of RNA sequencing methods
• RNA-seq Data: Challenges in and Recommendations for Experimental Design and Analysis
• RNA Bioinformatics (a 25 chapter book)
• [Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks] (https://github.com/griffithlab/rnaseq_tutorial/wiki/Reading/ExpressionAnalysis_Cufflinks_Trapnell_2012.pdf)
• [Differential analysis of gene regulation at transcript resolution with RNA-seq] (https://github.com/griffithlab/rnaseq_tutorial/wiki/Reading/DifferentialExpressionAnalysis_CuffDiff2_Trapnell_2013.pdf)
• [Methods to study splicing from high-throughput RNA sequencing data] (https://github.com/griffithlab/rnaseq_tutorial/wiki/Reading/SplicingAnalysisMethods_2014.pdf)
• [Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration] (https://github.com/griffithlab/rnaseq_tutorial/wiki/Reading/IGV_2012.pdf)
• [A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium (SEQC)] (http://www.nature.com/nbt/journal/v32/n9/full/nbt.2957.html)
• ENCODE RNA-seq Standards
• The RNA-seq blog - recent developments in RNA-seq technology and analysis

2. Unix/Linux Tutorials

• A UNIX command cheat sheet
• A UNIX tutorial for beginners
• A UNIX and Perl primer for biologists
• A detailed Biostars thread describing resources for learning Unix

3. R Tutorials

• An R command cheat sheet
• The official R intro manual
• Rseek, a search engine for R related questions
• A detailed BioStars thread describing resources for learning R
• Data Camp - R Tutorials and Data Analysis Courses
• Swirl - Learn R, in R.
• Quick and Dirty Guide to R

4. Supplementary Materials Relating to the Hands On Tutorials of this Course

• [Description of the ERCC spike-in controls used in the tutorial data] (https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/ERCC.pdf)
• [Description of the Human Brain Reference (HBR) sample used to generate the tutorial data] (https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/HBR.pdf)
• [Description of the Universal Human Reference (UHR) sample used to generate the tutorial data] (https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/UHR.pdf)

5. Resources to help find RNA-seq Data Sets

• GEO: The Gene Expression Omnibus
• SHARQ: Search public, human, RNA-seq experiments by cell, tissue type, and other features

6. General Bioinformatics Resources

• Web Based Interactive Resources To Learn Programming And/Or Bioinformatics
• The Bioinformatics Links Directory
• The periodic table of bioinformatics - A list of popular bioinformatics resources and tools
• A list of Genome Analysis Platforms like Galaxy, BaseSpace, etc.
• BioLinux - An Ubuntu Linux system with many Bioinformatics tools pre-installed
• CloudBioLinux - A cloud ready version of BioLinux

7. Getting More Help

• Biostars - A forum for the bioinformatics community
• SEQanswers - A forum for the next generation sequencing community

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