I have been working with TCGA cancer data to examine expression (RNAseqV2) and methylation (Illumina 450k) data. I want to look at sequencing data, but I'm a bit lost to what sort of information is available through TCGA. I want to examine whether there are nonsense mutations between positions 2000-2500 across all cancer types available in TCGA. What sort of resources/workflow should I expect?
If you are asking whether you can search for non-sense mutations between amino acids 2000-2500 of a particular gene in the TCGA sets, I would suggest using the Mutation Annotation Files (MAFs). These files have already been run through somatic variation calling so you won't have to deal with the sequencing data directly. You can filter out your gene of interest across all the MAF's in perl,awk,grep etc... Then in the `amino_acid_change` column you can search for integer values between p.2000-p.2500, and `trv_type` "Non-sense mutation".

Hope this helps.

Nick