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Merge pull request #108 from CompOmics/docs/group-arm-ids
docs(groups): the identifications of each group-count arm
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‎docs/33_window_groups.md‎

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@@ -283,6 +283,24 @@ number of bands changes neither what is searched nor what is extracted. The wall
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modelled as the summed band time over the number of bands run at once (12, 16, 21, 21),
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because the arms were interrupted and resumed; the CPU totals are measured.
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Pooling each arm's competed tables and rescoring (28 to 29 minutes at 40.6-40.8 GB in
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every arm, since the pool is the same 22.85M PSMs whatever the banding):
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| arm | peptides at 1% | precursors | protein groups |
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|---|---|---|---|
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| monolithic | 10,213 | 11,271 | 4,777 |
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| 8 bands (the earlier arm) | 10,346 | 11,271 | 4,761 |
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| 48 bands | 10,559 | 11,579 | 4,899 |
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| 63 bands | 10,608 | 11,594 | 4,863 |
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| 81 bands | 10,382 | 11,404 | 4,841 |
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| 94 bands | 10,631 | 11,643 | 4,893 |
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The five grouped arms span 10,346 to 10,631 peptides with no trend in the band count, which
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is the classifier reshuffling on a differently ordered input: the PSMs and features are
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identical, only the row order into rescore differs, and CLAUDE.md puts that at up to about
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1% on a pool of this size. Read this as "grouping costs no identifications", not as a gain
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over the monolithic run; a gain would need seeds, which none of these arms used.
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Three things this says:
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- **A band cannot be smaller than one isolation window.** The run has 114 windows, so 96

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