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The purpose is to search for similar protein groups, i.e. protein groups:
The Dice coefficient is used to measure similarity (result ranges from 0 to 1).
Main steps realized in the comparison process:
There are 2 situations, either the parent union already exists or the parent union needs to be created. In the image below:
The algorithm will then compare every protein groups of the union parent context to every protein groups of each children context in order to find the best alignment.
Comparing two protein groups each other means:
Case 1: if a Protein Group (context1) is compared to the 2 following Protein Groups (Context2), PG2 will be preferred
PG1 | PG2 | |
---|---|---|
peptideSimilarity | 0.2 | 0.5 |
proteinSimilarity | 0.4 | 0.6 |
AllProtSimilarity | - | - |
Case 2: if a Protein Group (context1) is compared to the 2 following Protein Groups (Context2), PG2 will be preferred
PG1 | PG2 | |
---|---|---|
peptideSimilarity | 0.5 | 0.5 |
proteinSimilarity | 0.4 | 0.6 |
AllProtSimilarity | - | - |
Case 3: if a Protein Group (context1) is compared to the 2 following Protein Groups (Context2), PG2 will be preferred
PG1 | PG2 | |
---|---|---|
peptideSimilarity | 0.5 | 0.5 |
proteinSimilarity | 0.6 | 0.6 |
AllProtSimilarity | 0.5 | 0.6 |
Case 4: if a Protein Group (context1) is compared to the 2 following Protein Groups (Context2), PG2 will be preferred
PG1 | PG2 | |
---|---|---|
peptideSimilarity | 0.0 | 0.0 |
proteinSimilarity | 0.6 | 0.8 |
AllProtSimilarity | - | - |
When the comparison algorithm execution has finished, a window displays on the screen.
The most left column (“Union reference”) displays protein groups (master protein accession) from the (virtual) union parent context.
For each protein group of the Union Reference context, the table displays the most “similar” protein group in each compared contexts.
For each compared context a default set of properties are displayed. You can change them by selecting/deselecting items in the droplist (right side).
When comparing two protein groups using “Protein” and “Peptide” similarity criteria, you can get four main situations:
Low Protein similarity | High Protein similarity | |
---|---|---|
Low Peptide similarity | Proteins groups are not alike | We have identified the same proteins but with different peptides (rare) |
High Peptide similarity | See image (on the left) to have an example of how to get this situation. It's usefull to check the “All Protein” similarity to have an information on proteins in subset | protein group are alike |