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userguide:retentiontimealignment [2010/08/02 11:17]
132.168.74.230
userguide:retentiontimealignment [2010/08/02 16:27] (current)
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 ====== Retention Time Alignment ====== ====== Retention Time Alignment ======
  
-Here are the major steps followed by the Retention Time algorithm: 
  
-{{:​userguide:​rtalignmentconcept2.png |}} 
  
-  ​- Collect species from the reference User context and predict their retention time using an external utility+===== Major steps followed by the Retention Time Alignment algorithm ===== 
 + 
 +{{ :​userguide:​rtalignmentconcept2.png|}} 
 +  ​- Collect species from the reference User context and predict their retention time using an external utility ​and store them in reference species properties
   - For each identification gathered under the reference User context do:   - For each identification gathered under the reference User context do:
     - Collect species to align from the identification ​     - Collect species to align from the identification ​
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     - Compute one (or several) representative value(s) for group1 & group2 for each pair group     - Compute one (or several) representative value(s) for group1 & group2 for each pair group
     - Compute linear regression between representative values ​     - Compute linear regression between representative values ​
-    - Store linear regression coefficients ​ +    - Store linear regression coefficients ​reference ​context name in identification properties
-\\ +
-In more details... +
- +
-  - Species Retention Time of the reference ​UserContext are predicted with **NETPrediction v2.2.3378** utility using Kangas method (click [[http://​omics.pnl.gov/​software/​NETPredictionUtility.php|here]] for more details). NETPrediction utility only uses species **sequences** to predict a Normalized Elution Time (NET) value. First, a list of '//​reference//'​ species is built with the below criteria, then the corresponding sequences are exported in order to be used by the NETPrediction utility: +
-    * The reference species list doesn'​t contain any species with PTMs +
-    * If several species exist with redundant sequences, the best score species is retained +
-  - All the final child species, i.e. species ​in identifications,​ are collected.  +
- +
  
-{{RtAlignmentConcept1.PNG}}+===== In more details... =====
  
-{{:​userguide:​specif_alignement_tr_2.png|}}+{{ RtAlignmentConcept1.PNG}} 
 +  - Species Retention Time of the reference UserContext are predicted with **NETPrediction v2.2.3378** utility using Kangas method (click [[http://​omics.pnl.gov/​software/​NETPredictionUtility.php|here]] for more details). NETPrediction utility only uses species **sequences** to predict a Normalized Elution Time (NET) value.  
 +    - First, a list of '//​reference//'​ species is built 
 +         * The reference species list doesn'​t contain any species with PTMs 
 +         * If several species exist with redundant sequences, the best score species is retained 
 +    - Then, the corresponding sequences are exported in order to be used by the NETPrediction utility 
 +  - The predicted NET are converted to retention time using user-defined parameters (duration & delay).  
 +  - The user can decide to exclude predicted values too far from the others:  
 +    * The average absolute deviation (between RT & predicted RT) is computed and all predicted RT far from this average value about a given user-defined threshold are excluded. 
 +  - The predicted RT values are then stored as properties in the reference species. 
 +  - For each identification existing under the reference User context (not necessary directly under the reference user context): 
 +    -  All the final child species to align are collected 
 +    -  Several pair groups are created using reference species & species to align. A pair group contains 2 groups of species having same sequence & calculated mass (group1 has species from reference User context and group2 has species to align from identifications). 
 +    - For each group, according the statistical method choosen by the user, one or several representative RT value(s) is(are) calculated. 
 +      * Each '​Group1'​ always contains one species because [[userguide:​proteingroups|species/​protein grouping]] has been executed on the reference context and suppressed sequence/​calculated mass redundancy. 
 +      * '​Group2'​ may contain one or more species. One or several representative value(s) is(are) calculated from one of following statistical methods: 
 +        * Average ​{{ :userguide:rtalignmentconcept3.png|}} 
 +        * Median 
 +        * Cross-product 
 +        * Combined 
 +        * Best score 
 +    - Compute linear regression between pair groups 
 +    - Store linear regression coefficients (slope/​intercept) + reference context name in the identification properties ​
  
  
userguide/retentiontimealignment.1280740658.txt.gz · Last modified: 2010/08/02 11:17 by 132.168.74.230