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 Geihs | 1 | 10 | 5.70 |
Ying Yan | 2 | 1 | 1.07 |
K Walter | 3 | 34 | 1.82 |
Jie Huang | 4 | 1 | 0.73 |
Yasin Memari | 5 | 1 | 0.40 |
Josine L. Min | 6 | 1 | 0.40 |
Daniel Mead | 7 | 1 | 0.40 |
Uk10k Consortium | 8 | 1 | 0.40 |
Tim J. P. Hubbard | 9 | 31 | 6.95 |
Nicholas J. Timpson | 10 | 1 | 0.40 |
T Down | 11 | 501 | 56.90 |
Nicole Soranzo | 12 | 39 | 2.11 |