How to Analyze RNA-Seq Data?

This is a class recording of VTPP 638 “Analysis of Genomic Signals” at Texas A&M University.

No RNA-Seq background is needed, and it comes with a lot of free resources that help you learn how to do RNA-seq analysis. You will learn:

(1) The basic concept of RNA-sequencing
(2) How to design your experiment: library prep, sequencing depth, budgets, statistical power.
(3) The analysis pipeline
(4) Useful resources (all free!!!).

[Up-to-date RNA-Seq Analysis Training/Courses/Papers] http://www.biostars.org/p/174376/

All other links are listed here:

1. Comparison of different Illumina Truseq RNA Prep kits:
http://www.illumina.com/documents/pro…
2. Scotty-Power analysis for RNA Seq Experiments:
http://scotty.genetics.utah.edu/
3. Illumina Sequencing Technology:
https://www.youtube.com/watch?v=womKf…
4. Ensembl FTP download website (include file format description):
http://useast.ensembl.org/info/data/f…
5. HISAT2: https://ccb.jhu.edu/software/hisat2/i…
6. HTSeq:
http://www-huber.embl.de/users/anders…
7. DESeq2 (click on “PDF” for manual):
http://bioconductor.org/packages/rele…
8. How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use?
http://rnajournal.cshlp.org/content/2…
9. Gene Ontology: http://pantherdb.org/
10. IPA Webinars:
https://www.qiagenbioinformatics.com/…
11. Texas A&M Supercomputing Facility-trainings:
https://sc.tamu.edu/wiki/index.php/HP…
12. Command Line Tools for Genomic Data Science:
https://www.coursera.org/learn/genomi…
13. Informatics for RNA-Seq Analysis 2016:
https://www.youtube.com/playlist?list…
14. http://www.rnaseq.wiki/
15. Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud:
http://journals.plos.org/ploscompbiol…
16. A survey of best practices for RNA-seq data analysis:
https://genomebiology.biomedcentral.c…
17. RNA-Seq workflow: gene-level exploratory analysis and differential expression:
https://www.ncbi.nlm.nih.gov/pmc/arti…
18. RNA-Seq Blog: http://www.rna-seqblog.com/
19. BioStars: http://www.biostars.org/
20. RNA-Seq Analysis Tutorial:
https://github.com/CandiceChuDVM/RNA-…

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