| Title | | » | Feature finding should provide information in terms of the expected peptides in a document - what's novel in the search result, what's missing |
| Assigned To | | » | Brian Pratt |
| Type | | » | Defect |
| Area | | » | Skyline |
| Priority | | » | 3 |
Per a zoom call with Yu at Regeneron 6/13/24:
For MAM it's interesting to know both:
Which features were found that are NOT consistent with any expected targets
Which expected targets are NOT consistent with any found features
Is this just a text report, or do we want to add some kind of attributes to the Skyline data model?
For their purposes, the fact that we currently only look for peptide-like features is fine. They think about unexpected modifications etc.