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iProLINK: an integrated protein resource for literature mining
2004
Computational biology and chemistry
The exponential growth of large-scale molecular sequence data and of the PubMed scientific literature has prompted active research in biological literature mining and information extraction to facilitate genome/proteome annotation and improve the quality of biological databases. Motivated by the promise of text mining methodologies, but at the same time, the lack of adequate curated data for training and benchmarking, the Protein Information Resource (PIR) has developed a resource for protein
doi:10.1016/j.compbiolchem.2004.09.010
pmid:15556482
fatcat:nqbne4m6gbdgffgcrm7gf2pfty