Filtering can be done on 1 or more User Context. Once desired contexts are selected, you can
The following window will appear
Typical protein modification is based on rules combinations, in the same way as in IRMa.
User should :
User wants to select as typical, protein which has
To do this the user will have to create 3 rules :
rule1
: description starts with “sp”rule2
: description starts with “tr” rule3
: accession ends with “_HUMAN”
and creates the following rule composition: rule1 or (rule2 and rule3 )
.
When running the module, for each PutativeProtein the typical protein will be set to the first one which respects the rule composition constraint.
In this example, the user will preferentially wants to select as typical a protein which has its description starting with “sp”.
If no protein respect that constraint then user will want to select as typical a protein which has its description starting with “tr” and its accession ending with “_HUMAN”.
If we uses the same rules as in example 1 (rule1
, rule2
and rule3
), the typical protein to choose will be one (the first) which respect rule1
and if none is found the new typical protein should respect rules composition (rule2 or rule3)
.
To do this, the user will have to create 3 rules :
rule1
: description starts with “sp”rule2
: description starts with “tr”rule3
: accession ends with “_HUMAN”create two rules compositions:
rule1
rule2or rule3
and order rules compositions by priority