Thanks for the reply,
One of the toy problems I am trying to replicate in the real world, with real world data, is finding positions on genes that have been mutated, and see if these relate to variations seen on corresponding proteins. So a protein we get has variant at AA 100 - Serine -> Valine. I want to look at the same positions in its gene and determine frequency of alleles seen. I want to see how rare particular polymorphisms are for genes associated with a protein for which we see variations. So I want to find the codon position in my gene relating to the protein variant, and check the frequency of changes seen in the population at this position.
Then this can be extended to look at the allele frequency for orthologoous genes/proteins for a particular protein variation seen.
Is the approach even correct? Is the biological rational useful?
The allele frequency and the N/A remark If I get 100 proteins/genes that are homologous to mine. And if gnomAD has no data on any of these genes I cannot get any allele information on it. Therefore from 100 genes I get nothing. I have my current variation etc., but I have no other data. So for this protein the numerical result from the allele analysis will be "weaker" than that from an analysis for which we have many data in gnomAD.
Genomic sequence position -> protein variation position issue The codon -> AA check is fine, genetic code etc. What do I use, or what do I look into for mapping DNA locations to protein sequence locations? Because the protein sequences I have, when I translate the canonical or allelic DNA sequences I get a completely different AA chain than that seen from the protein itself.
Thanks, U.