Introducing meta-services for biomedical information extraction
Open Access
- 1 September 2008
- journal article
- research article
- Published by Springer Nature in Genome Biology
- Vol. 9 (S2) , S6
- https://doi.org/10.1186/gb-2008-9-s2-s6
Abstract
We introduce the first meta-service for information extraction in molecular biology, the BioCreative MetaServer (BCMS; http://bcms.bioinfo.cnio.es/). This prototype platform is a joint effort of 13 research groups and provides automatically generated annotations for PubMed/Medline abstracts. Annotation types cover gene names, gene IDs, species, and protein-protein interactions. The annotations are distributed by the meta-server in both human and machine readable formats (HTML/XML). This service is intended to be used by biomedical researchers and database annotators, and in biomedical language processing. The platform allows direct comparison, unified access, and result aggregation of the annotations.Keywords
This publication has 37 references indexed in Scilit:
- Automating curation using a natural language processing pipelineGenome Biology, 2008
- Evaluation of text-mining systems for biology: overview of the Second BioCreative community challengeGenome Biology, 2008
- GeneMANIA: a real-time multiple association network integration algorithm for predicting gene functionGenome Biology, 2008
- Predicting gene function in a hierarchical context with an ensemble of classifiersGenome Biology, 2008
- A critical assessment of Mus musculusgene function prediction using integrated genomic evidenceGenome Biology, 2008
- A race through the maze of genomic evidenceGenome Biology, 2008
- Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articlesBMC Bioinformatics, 2008
- iHOP web servicesNucleic Acids Research, 2007
- Web Services at the European Bioinformatics InstituteNucleic Acids Research, 2007
- NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognitionBMC Bioinformatics, 2006