Geihs, M;
Yan, Y;
Walter, K;
Huang, J;
Memari, Y;
Min, JL;
Mead, D;
UK10K Consortium, ;
Hubbard, TJ;
Timpson, NJ;
et al.
Geihs, M; Yan, Y; Walter, K; Huang, J; Memari, Y; Min, JL; Mead, D; UK10K Consortium; Hubbard, TJ; Timpson, NJ; Down, TA; Soranzo, N
(2015)
An interactive genome browser of association results from the UK10K cohorts project.
Bioinformatics, 31 (24).
pp. 4029-4031.
ISSN 1367-4811
https://doi.org/10.1093/bioinformatics/btv491
SGUL Authors: Jamshidi, Yalda
Abstract
UNLABELLED: High-throughput sequencing technologies survey genetic variation at genome scale and are increasingly used to study the contribution of rare and low-frequency genetic variants to human traits. As part of the Cohorts arm of the UK10K project, genetic variants called from low-read depth (average 7×) whole genome sequencing of 3621 cohort individuals were analysed for statistical associations with 64 different phenotypic traits of biomedical importance. Here, we describe a novel genome browser based on the Biodalliance platform developed to provide interactive access to the association results of the project. AVAILABILITY AND IMPLEMENTATION: The browser is available at http://www.uk10k.org/dalliance.html. Source code for the Biodalliance platform is available under a BSD license from http://github.com/dasmoth/dalliance, and for the LD-display plugin and backend from http://github.com/dasmoth/ldserv.
Item Type: |
Article
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Additional Information: |
© The Author 2015. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: |
Genetic Association Studies, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Linkage Disequilibrium, Software, UK10K Consortium, Humans, Linkage Disequilibrium, Genome, Human, Software, Genetic Variation, Genetic Association Studies, High-Throughput Nucleotide Sequencing, 01 Mathematical Sciences, 06 Biological Sciences, 08 Information and Computing Sciences, Bioinformatics |
SGUL Research Institute / Research Centre: |
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) |
Journal or Publication Title: |
Bioinformatics |
ISSN: |
1367-4811 |
Language: |
eng |
Dates: |
Date | Event |
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15 December 2015 | Published | 26 August 2015 | Published Online | 17 August 2015 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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PubMed ID: |
26315906 |
Web of Science ID: |
WOS:000366630400029 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/112987 |
Publisher's version: |
https://doi.org/10.1093/bioinformatics/btv491 |
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