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This is a follow up from #235, that deals specifically with identification data filtering. Default filtering will do the following:
keep only rank 1 peptides
remove decoy hits
keep only unique (proteotypic) peptides
Another important point is that calculateFragments can't handle PEPTIDESEQUENCE1;PEPTIDESEQUENCE2 as input, which will have to be addressed for multi-protein hit peptides and peptides with multiple modifications, although in such cases the sequence might actually be the same.
Just a minor point. This function will fail for `decoy=NULL` and `verbose=TRUE` in the *rank* if-block because `n1` is missing. Same for the other *n* values.
Am 7. August 2017 14:22:37 MESZ schrieb Laurent Gatto <notifications@github.com>:
This is a follow up from #235, that deals specifically with identification data filtering. Default filtering will do the following:
Another important point is that
calculateFragments
can't handlePEPTIDESEQUENCE1;PEPTIDESEQUENCE2
as input, which will have to be addressed for multi-protein hit peptides and peptides with multiple modifications, although in such cases the sequence might actually be the same.See also #232
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