Juan Miguel Cejuela

TL;DR: The second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function, was conducted by as mentioned in this paper. But the results of the CAFA2 assessment are limited.

TL;DR: The second critical assessment of functional annotation (CAFA) conducted, a timed challenge to assess computational methods that automatically assign protein function, revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies.

TL;DR: The second Critical Assessment of Functional Annotation (CAFA) challenge as mentioned in this paper was the first attempt to assess computational methods that automatically assign protein function. And the results of CAFA2 showed that computational function prediction is improving.

TL;DR: LocText provides a cost-effective, semi-automated workflow to assist database curators in identifying novel protein localization annotations through text mining for well-studied model organisms.

TL;DR: An effort to bring together text mining tool developers and database biocurators to test the utility and usability of tools and indicates that some of the systems were able to improve efficiency of curation by speeding up the curation task significantly and improve annotation accuracy when compared with the performance on the manually curated set.