Ontology-based validation and identification of regulatory phenotypes-Reference-Cited by-同舟云学术

Ontology-based validation and identification of regulatory phenotypes

Published:2018-09-01 Issue:17 Volume:34 Page:i857-i865
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kulmanov Maxat¹,Schofield Paul N²,Gkoutos Georgios V³⁴⁵⁶⁷,Hoehndorf Robert¹

Affiliation:

1. Computer, Electrical and Mathematical Sciences and Engineering Division, Computational Bioscience Research Centre, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2. Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK

3. College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, UK

4. Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK

5. NIHR Experimental Cancer Medicine Centre, Birmingham, UK

6. NIHR Surgical Reconstruction and Microbiology Research Centre, Birmingham, UK

7. NIHR Biomedical Research Centre, Birmingham, UK

Funder

King Abdullah University of Science and Technology

Office of Sponsored Research

H2020-EINFRA

National Science Foundation

NIHR Birmingham ECMC

NIHR Birmingham SRMRC

NIHR Birmingham Biomedical Research Centre

MRC HDR UK

NHS

National Institute for Health Research

Medical Research Council

Department of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/17/i857/25702307/bty605.pdf

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4. Non-lexical approaches to identifying associative relations in the gene ontology;Bodenreider;Pac. Symp. Biocomput,2005

5. Semantic prioritization of novel causative genomic variants;Boudellioua;PLoS Comput. Biol,2017

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