Replies: 3 comments 7 replies
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Hi Ivan, Heuristic protein inference is the easiest way to analyse things for most experiments, that's why it's on by default. Just need to always keep in mind that maximum-parsimony protein grouping might not be perfect, hence need to be cautious in making conclusions about individual proteins, unless identified and quantified using proteotypic peptides. Yes, turning it off will result in 'duplicate' proteins. 'No shared spectra' is a very important algorithm and I suggest to always keep it enabled. Best, |
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Hi Vadim, |
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But why would there be duplicate proteins if the "No shared spectra" is turned on (while not using heuristic protein inference)? No shared spectra means no shared peptides, right? There should be no duplicates in that case. Also, the application says that heuristic protein inference is not recommended for differential expression analysis. Usually differential expression analysis is the main purpose. |
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Hi,
I went through your explanation of DIA-NN search parameters, but I didn't understand the thing with "heuristic protein inference".
I used DIA-NN for the first time in library-free mode. I tried to have heuristic protein inference off the first time because I understood it is not as accurate for the quantification based on information on the DIA-NN GitHub page. However, I got many proteins that were duplicated and had the same majority protein ID. When I turned the heuristic protein inference on, I got a much nicer pg.matrix without duplciates.
What is the solution to remove duplicated proteins? Should I use some R-package to process the data, or did I use the wrong parameters in the searches which I attached (like "no shared spectra" was off in the first search)?
These were my search parameters.
Thank you and best regards,
Ivan
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