Hi Tony,
As the samples were run by a service provider, they only sent us the results which they processed using PEAKS Studio. And unfortunately I do not have the raw data files hence I can't re-analyze using software that is compatible with the package.
If it is due to the shared peptides between a few proteins, does it mean that I should select only peptides that are unique to the proteins and remove the non-unique ones? In one of the files I do have a column named "unique" (as shown in the attachment), which I assume that Y meant yes and N meant no, and it is referring to whether the peptide sequence is unique to the proteins. Otherwise, should I manually remove those duplicated peptide sequences prior to using the dataProcess function?
Thank you for your time in this matter.
Sincerely,
YP