The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou; Yuxiang Jiang; Timothy Bergquist; Alexandra Lee; Balint Z Kacsoh; Alex W. Crocker; Kimberley A. Lewis; George P. Georghiou · 2019 · Genome biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
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Abstract
BACKGROUND: The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. RESULTS: Here, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed. In a novel and major new development, computational predictions and assessment goals drove some of the experimental assays, resulting in new functional annotations for more than 1000 genes. S
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Metadata source: OpenAlex · DOI 10.1186/s13059-019-1835-8