Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop

Karin Verspoor; Anika Oellrich; Nigel Collier; Tudor Groza; Philippe Rocca-Serra; Larisa Soldatova; Michel Dumontier; Nigam Shah

doi:10.1186/s13326-016-0108-7

Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop

J Biomed Semantics. 2016 Dec 12;7(1):66. doi: 10.1186/s13326-016-0108-7.

Authors

Karin Verspoor¹, Anika Oellrich², Nigel Collier³, Tudor Groza^{4

5}, Philippe Rocca-Serra⁶, Larisa Soldatova⁷, Michel Dumontier⁸, Nigam Shah⁸

Affiliations

¹ Department of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia. karin.verspoor@unimelb.edu.au.
² MRC Social, Genetic & Developmental Psychiatry Centre (SGDP), King's College London, London, SE5 8AF, UK.
³ The Language Technology Lab, Department of Theoretical and Applied Linguistics, University of Cambridge, Cambridge, UK.
⁴ Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
⁵ St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia.
⁶ University of Oxford e-Research Centre, 7 Keble Road, OX1 3QG, Oxford, UK.
⁷ Brunel University London, London, UK.
⁸ Stanford University, Stanford, CA, USA.

Abstract

This special issue covers selected papers from the 18th Bio-Ontologies Special Interest Group meeting and Phenotype Day, which took place at the Intelligent Systems for Molecular Biology (ISMB) conference in Dublin in 2015. The papers presented in this collection range from descriptions of software tools supporting ontology development and annotation of objects with ontology terms, to applications of text mining for structured relation extraction involving diseases and phenotypes, to detailed proposals for new ontologies and mapping of existing ontologies. Together, the papers consider a range of representational issues in bio-ontology development, and demonstrate the applicability of bio-ontologies to support biological and clinical knowledge-based decision making and analysis.The full set of papers in the Thematic Issue is available at http://www.biomedcentral.com/collections/sig .

MeSH terms

Biological Ontologies*
Phenotype*