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Update 20241001_FI.md
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notes/20241001_FI.md

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@@ -7,7 +7,7 @@ to go use MSFragger, MetaMorpheus, Sage and all of the other great peptide ident
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tools out there.
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Fragment ion indexing (abbreviated as "FI" or "Comet-FI" going forward) is supported
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n Comet as of [version 2024.02 rev. 0](https://uwpr.github.io/Comet/releases/release_202402.html).
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in Comet as of [version 2024.02 rev. 0](https://uwpr.github.io/Comet/releases/release_202402.html).
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Given this is the first Comet release with FI functionality, we expect to improve on
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features, performance, and functionality going forward.
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@@ -109,7 +109,7 @@ multiple variable modifications).
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- [fragindex_num_spectrumpeaks](/Comet/parameters/parameters_202402/fragindex_num_spectrumpeaks.html)
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- [fragindex_skipreadprecursors](/Comet/parameters/parameters_202402/fragindex_skipreadprecursors.html)
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### Memory use performance
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### Memory use and performance
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There are many factors that go into how much memory will be consumed including:
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- database size
@@ -118,10 +118,10 @@ There are many factors that go into how much memory will be consumed including:
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- number of variable modifications considered
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- mass range of the fragment ions used in the index
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One can easily generate over a billion fragment ions in
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a standard human, target + decoy, tryptic analysis by adding a few variable modifications.
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And representing a billion fragment ions in a fragment index
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in memory will require many GBs of RAM. You might get away with some smaller searches
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One can easily generate over a billion fragment ions in a standard human,
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target + decoy, tryptic analysis by adding a few variable modifications.
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And representing a billion fragment ions in a fragment index in memory will
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require many GBs of RAM. You might get away with some smaller searches
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on a 16 GB or 32 GB machine. Many searches can be done with 64 GB RAM. And if you're a power
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user who wants to analyze MHC peptides requiring non-specific enzyme constraint searches,
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don't attempt to run such a search with many modifications as it simply won't work.
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- Yeast forward + reverse (12,488 sequence entries),
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variable mods 16M and 80STY uses 5.6 GB of RAM and
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completes in 0:30. The .idx creation step took 0:03 to complete.
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completes in 0:30. The plain peptide .idx file
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creation step took 0:03 to complete.
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- Human forward + reverse (193,864 sequence entries),
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variable mods 16M uses 5.2 GB of RAM and completes in 0:31.
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During the search, populating the fragment ion index took

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