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userguide:peptidesandproteingrouping [2011/07/22 15:25] 132.168.73.124 |
userguide:peptidesandproteingrouping [2012/02/20 08:41] 132.168.73.124 |
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* creating new peptides (grouped peptide) ans matches from the union of all peptides referenced in child context (direct child if exist, otherwise more deeper childs). | * creating new peptides (grouped peptide) ans matches from the union of all peptides referenced in child context (direct child if exist, otherwise more deeper childs). | ||
* defining protein group using new set of peptides and matches associated to parent context. | * defining protein group using new set of peptides and matches associated to parent context. | ||
- | |||
- | Since hEIDI 1.11.0, the MSIdb must be saved before launching grouping. The peptide/protein grouping is automatically saved to MSIdb as well. | ||
===== Algorithm ===== | ===== Algorithm ===== | ||
+ | |||
+ | **Since hEIDI 1.11.0**, a new peptide/protein grouping algorithm has been implemented. This is part of a global idea which is to improve global performance in hEIDI.\\ | ||
+ | Indeed, datasets become bigger and bigger (ex. VELOS), and loading all data in memory in one hEIDI session is no more possible (as we did before hEIDI 1.11.0). \\ | ||
+ | The purpose is now to load the minimum information in hEIDI session, and to have algorithms that save results directly to MSIdb. \\ | ||
+ | We have started to optimize the peptide/Protein grouping algorithm as it requires to load a complex object tree and so is very memory consuming. Other algorithms will be optimized progressively in further hEIDI versions.\\ | ||
+ | |||
+ | **What are the changes for the user:** | ||
+ | * Paradoxically, the grouping is little bit slower compared to previous hEIDI versions. But, initial loading and save operation will be faster | ||
+ | * The MSIdb must be saved before launching grouping | ||
+ | * The peptide/protein grouping result is automatically saved to MSIdb | ||
Protein grouping mechanism is detailled beneath the following image.\\ | Protein grouping mechanism is detailled beneath the following image.\\ |