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Having annotations in the form of cross-references is helpful and confidence scores are certainly a great way of quantifying how trust-worthy a certain item in a GEM is, but the ultimate measure would be how many of X items can be backed up with actual literature.
Being able to solve this issue relies heavily on the outcome of this https://github.com/opencobra/schema i.e. how DOIs will be handled within SBML in the future.
Code Sample
(Test confidence score 3 and 4 reactions for presence of DOI (or better Pubmed ID) in annotation dict)?
(Test number of included DOI (or better Pubmed ID) == number of reactions as a score for manual curation)?
The text was updated successfully, but these errors were encountered:
Problem description
Having annotations in the form of cross-references is helpful and confidence scores are certainly a great way of quantifying how trust-worthy a certain item in a GEM is, but the ultimate measure would be how many of X items can be backed up with actual literature.
Being able to solve this issue relies heavily on the outcome of this https://github.com/opencobra/schema i.e. how DOIs will be handled within SBML in the future.
Code Sample
The text was updated successfully, but these errors were encountered: