- Abstract:
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Background: Biological interpretation of genomic summary data such as those resulting from GWAS and eQTL studies is one of the major bottlenecks in medical genomics research, calling for efficient and integrative tools to resolve this problem. Results: We introduce eXploring Genomic Relations (XGR), an open source tool designed for precision interpretation of genomic summary data enabling downstream knowledge discovery. Targeting users of varying computational skills, XGR utilises prior biol...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 4.6MB)
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- Publisher copy:
- 10.1186/s13073-016-0384-y
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- Grant:
- 281824; Innovative Medicine Initiative ULTRA-DD
- Publisher:
- BioMed Central Publisher's website
- Journal:
- Genome Medicine Journal website
- Publication date:
- 2016-12-13
- Acceptance date:
- 2016-11-24
- DOI:
- EISSN:
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1756-994X
- ISSN:
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1756-994X
- Pubs id:
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pubs:662138
- URN:
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uri:bd3faec4-e7ca-4aaf-b76a-1346bf781171
- UUID:
-
uuid:bd3faec4-e7ca-4aaf-b76a-1346bf781171
- Local pid:
- pubs:662138
- Copyright holder:
- Fang et al.
- Copyright date:
- 2016
- Notes:
- © The Author(s). 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License.
Journal article
XGR software for enhanced interpretation of genomic summary data, illustrated by application to immunological traits
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+ European Research Council
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NIHR Oxford Biomedical Research Centre
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