Comments (1)
- Inference from human will be automatically be populated. If geneA-> relation -> GO_term is imported and there is an exact annotation geneA->relation->GO_term with evidence, that evidence will be automatically added to the model.
- Pilot is to take a couple kinds of pathways and see if we can do this manually. Keep track of how many assertions in the model already have evidence and how often are there 'other' functions that are in existing annotations that would 'support' the model?
- Do we want to have a hierarchy of evidence? The computer has already used ISO between human and species to generate the model. So other evidence gets priority?
- Do we want to use the deepening of GP to term relations that will happen in the models to deepen the GP to term relations in the existing conventional annotations? Create a report for curators?
- Do we want to update to keep the automatic evidence assignment in perfect accordance with the models, both for additions and deprecation? Alert curators when evidence disappears.
- In the workflow, curators would make a standard annotation to fill in the blanks in models.
- Interesting to see how many annotation and what type of annotations don't get incorporated into models.
from pathways2go.
Related Issues (20)
- Prioritization of Steps in Converting Molecular Events HOT 7
- Review the causal flow between EGFR(s) activity and Src activity
- First step: Import Reactome Pathways for MOD species HOT 6
- Third step: Use Textpresso-like resource to identify papers that could provide evidence for statements that aren't supported by evidence from existing annotations. HOT 1
- Represent enzymatic complex enablers according to GO-CAM spec HOT 11
- Representation of an unknown enabler in Reactome and GO-CAM HOT 6
- Signal/Transit peptides in Reactome (12 confirmed cases) HOT 3
- Suspicious sequence range for UniProtKB:P43251 derived EWASes HOT 1
- Complexes & Sets - info needed for PRO
- Switch on intermediate small molecule instance sharing for Reactome HOT 9
- Sub-sequence termini revisions/review HOT 4
- R-HSA-163765 "ChREBP activates metabolic gene expression" cleanup HOT 1
- GO-CAM reaction labels don't match the Reactome pathway browser
- Reactome: amino acid and PTM mismatches
- To discuss: how to handle Reactome and Yeast Pathways imported GO-CAMs wrt input/output data updates
- Fatty AcylCoA biosynthesis HOT 4
- Only include reactions that are part of a pathway in the GO-CAM imports
- Experiment: Only include chemicals that are causally connected in a model. HOT 2
- Activity node for reaction should be a process if GO BP is curated at Reactome HOT 5
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from pathways2go.