Hi Panos,
>From your questions it seems like you would get a lot of benefit from the 
TPP 5-day course. I suggest keeping an eye on this group for announcements 
of when one might be available that you can attend.

Here are some brief answers in the meantime. Each search engine is 
attempting to assign as many spectra to peptides as possible, however each 
takes its own approach to solving this problem. Therefore some engines 
perform better in certain circumstances, while others might prevail in 
alternate circumstances. The speed of the search engine is not correlated 
with the quality of its output. There are a number of good papers on mass 
spec search engines that you can easily explore via pubmed or google 
scholar.

Generally analysts will just use a single search engine because it's the 
common one used in their lab. An example of this would be the Andromeda 
search engine built into the popular MaxQuant software, or Mascot which has 
a long history in the field. The TPP is agnostic and allows the analyst to 
use the search engine of their choice, although it comes with some bundled 
in for convenience. I would suggest trying a few on your data to get an 
empirical idea of which perform the best for your platform.

Combining results from multiple search engines does generally boost total 
peptide-spectrum matches, but I wouldn't say it's a common practice. The 
trade off in computational time may not be worth the gains.

Again, I strongly suggest you attend the TPP course or chat with some of 
the team at a conference booth, because I am leaving out a lot of nuance 
here.

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