Hi from future!
Did you find a way to reduce the incoming data to single values?
How should I interpret for example, SIFT score:
SIFT_pred = T;T;T;T;D;T
SIFT_score = 0.138;0.138;0.138;0.138;0.042;0.157
From dbNSFP documentation, I understand the meaning of D and T
My question is: Why there are multiple values of both pred and score in this example?
I guess I found the answer from dbNSFP readme file:
January 23, 2014: dbNSFP v2.2 is released. SIFT and FATHMM now have multiple scores corresponding to different Ensembl ENSP ids and amino acid positions (aapos_SIFT and aapos_FATHMM). Accordingly, our companion search program now supports SNP searches based on Ensembl ENSP ids and amino acid positions.
So each value corresponds to different Ensembl ENSP id and amino acid position (aapos_SIFT and aapos_FATHMM).
Hi from future!
Did you find a way to reduce the incoming data to single values?
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Hello greeness,
just a quick guess about this. AFAIK the prediction depends on the transcript, as SIFT need to know whether the variant is located in an exon, intron, ... and if there is an amino acid change. So I guess these multiple values are for different transcripts.
Where did you get this value from?
fin swimmer