Hi Luciana

One tool that might fulfil criteria 1 would be Mayu that is also part
of the TPP, see
http://proteomics.ethz.ch/muellelu/web/LukasReiter/Mayu/ - it will
calculate a new PSM score cutoff based on the input data (using the
decoys) and compute a PSM score cutoff that is equivalent to a certain
protein FDR.

Hannes

On 1 April 2014 17:56, Luciana B <[email protected]> wrote:
> Dear all,
>
> I have a dataset that I was trying to apply both peptide-level and
> protein-level FDR. I have found some publications which set for example a
> FDR below 1% for protein and peptide assignments, and I was wondering how it
> was done. Can someone help me with this?
>
> 1. Is it possible to filter out peptides below the probability threshold (1%
> FDR in PeptideProphet) before ProteinProphet analysis? In this case, only
> the list of peptides matching this cutoff would be used to assemble the list
> of proteins with ProteinProphet.
>
> 2. The other option would be filtering peptides after ProteinProphet, based
> on the probabilities calculated in PeptideProphet. Is it possible? I have
> noticed that ProteinProphet does not allow to filter out peptides based on
> PeptideProphet calculated FDR.
>
> So, is it possible to apply both peptide-level FDR based on PeptideProphet
> and protein-level FDR based on ProteinProphet, for the same dataset?
>
> Thank you!!
>
> Luciana
>
>
>
>
>
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