Title
An interactive genome browser of association results from the UK10K cohorts project
Abstract
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 x) 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.
Year
DOI
Venue
2015
10.1093/bioinformatics/btv491
BIOINFORMATICS
Field
DocType
Volume
Genome,Data mining,World Wide Web,Genome browser,Computer science,Source code,Genetic variation,Whole genome sequencing,Genome human,Plug-in,Bioinformatics
Journal
31
Issue
ISSN
Citations 
24
1367-4803
1
PageRank 
References 
Authors
0.40
2
12
Name
Order
Citations
PageRank
Matthias Geihs1105.70
Ying Yan211.07
K Walter3341.82
Jie Huang410.73
Yasin Memari510.40
Josine L. Min610.40
Daniel Mead710.40
Uk10k Consortium810.40
Tim J. P. Hubbard9316.95
Nicholas J. Timpson1010.40
T Down1150156.90
Nicole Soranzo12392.11