Work

BioC interoperability track overview

Year: 2014

Type: article

Abstract: BioC is a new simple XML format for sharing biomedical text and annotations and libraries to read and write that format. This promotes the development of interoperable tools for natural language processing (NLP) of biomedical text. The interoperability track at the BioCreative IV workshop featured contributions using or highlighting the BioC format. These contributions included additional implementations of BioC, many new corpora in the format, biomedical NLP tools consuming and producing the format and online services using the format. The ease of use, broad support and rapidly growing number of tools demonstrate the need for and value of the BioC format. Database URL: http://bioc.sourceforge.net/.

Source: Database

DOI: 10.1093/database/bau053

Authors: D. C. Comeau, R. T. Batista-Navarro, H.-J. Dai, R. Islamaj Do an, A. Jimeno Yepes, R. Khare, Z. Lu, H. Marques, C. J. Mattingly, M. Neves, Y. Peng, R. Rak, F. Rinaldi, R. T.-H. Tsai, K. Verspoor, T. C. Wiegers, C. H. Wu, W. J. Wilbur

Institutions: North Carolina State University, The University of Melbourne, University of Zurich, University of Manchester, Humboldt-Universität zu Berlin, National Center for Biotechnology Information, Taipei Medical University, Charité – Universitätsmedizin Berlin, University of Delaware

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,729

Funders: National Science Foundation, Australian Government, National Institutes of Health, Australian Research Council, National Institute of Environmental Health Sciences, U.S. National Library of Medicine

Awards: Linking Text Mining with Ontology and Systems Biology, Comparative Toxicogenomics Database (CTD), G2076065259

OpenAlex ID: W2020357318

FWCI: 1.582

Cites: 47

Cited by: 19

Related to: 10