Can anyone suggest some good research papers to understand the complete NGS workflow?
I don't require generic workflow (I am familiar with the basics) but I am looking for papers where some real data has been analyzed using tools like: *fastQC, bwa/bowtie, samtools/picards, bcftools etc.*
Thank you.
1 answer
The protocol paper for tophat/cufflinks is quite good:
http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html
It covers an RNAseq differential expression workflow. I think you may be looking for something at a more detailed level of complexity (i.e. what exact commands are run) in which case you will be better of looking at some R vignettes or tutorials. Research papers are usually biology focused (where as the workflow is not as important as the results, and therefore not covered in depth) or software focused (where as the go into intricate detail about the workings of one piece of software)
Here are some links to tutorials:
- https://www.broadinstitute.org/gatk/guide/topic?name=tutorials
- http://www.bioconductor.org/help/workflows/rnaseqGene/
- http://quinlanlab.org/tutorials/bedtools/bedtools.html
- https://wikis.utexas.edu/display/bioiteam/Variant+calling+using+SAMtools
I will note that some of these tutorials are written for people working on workshops or in set up environments so you may have to do some fudging to get stuff working with your own sample data.
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If you don't want a generic workflow, I would elaborate a bit on what you do want. RNA? DNA? ChIP? Human?