A fully computational and reasonable representation for karyotypes

Author:

Warrender Jennifer D1,Moorman Anthony V2,Lord Phillip1

Affiliation:

1. School of Computing, Newcastle University, Newcastle-upon-Tyne NE4 5TG, UK

2. Northern Institute for Cancer Research, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK

Abstract

Abstract Summary The human karyotype has been used as a mechanism for describing and detecting gross abnormalities in the genome for many decades. It is used both for routine diagnostic purposes and for research to further our understanding of the causes of disease. Despite these important applications there has been no rigorous computational representation of the karyotype; rather an informal, string-based representation is used, making it hard to check, organize and search data of this form. In this article, we describe our use of OWL, the Ontology Web Language, to generate a fully computational representation of the karyotype; the development of this ontology represents a significant advance from the traditional bioinformatics use for tagging and navigation and has necessitated the development of a new ontology development environment called Tawny-OWL. Availability and implementation The Karyotype Ontology and associated Tawny-OWL source code is available on GitHub at https://github.com/jaydchan/tawny-karyotype, under a LGPL License, Version 3.0.

Funder

Engineering and Physical Sciences Research Council

Publisher

Oxford University Press (OUP)

Subject

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

Reference12 articles.

1. A document-centric approach for developing the tolAPC ontology;Blfgeh;J Biomed Semantics,2017

2. Putting OWL in order: patterns for sequences in OWL;Drummond;Concrete,2006

3. Modeling a description logic vocabulary for cancer research;Hartel;J. Biomed. Inform,2005

4. InChI, the IUPAC International Chemical Identifier;Heller;J. Cheminform,2015

5. The OWL API: a Java API for OWL ontologies;Horridge;Semant. Web,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3