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The Personal Genome Project-UK, an open access resource of human multi-omics data
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Chervova, Olga, Conde, Lucia, Guerra-Assunção, José Afonso, Moghul, Ismail, Webster, Amy P., Berner, Alison, Larose Cadieux, Elizabeth, Tian, Yuan, Voloshin, Vitaly, Jesus, Tiago F., Hamoudi, Rifat, Herrero, Javier and Beck, Stephan (2019) The Personal Genome Project-UK, an open access resource of human multi-omics data. Scientific Data, 6 (1). 257. doi:10.1038/s41597-019-0205-4
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WRAP-Personal-Genome-Project-UK-open-access-resource-human-multi-omics-data-Voloshin-2019.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2202Kb) | Preview |
Official URL: http://dx.doi.org/10.1038/s41597-019-0205-4
Abstract
Integrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.
| Item Type: | Journal Article | ||||||||||||
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| Subjects: | Q Science > QH Natural history | ||||||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||||||
| Library of Congress Subject Headings (LCSH): | Genomes , Human gene mapping, Gene mapping | ||||||||||||
| Journal or Publication Title: | Scientific Data | ||||||||||||
| Publisher: | Nature Publishing Group | ||||||||||||
| ISSN: | 2052-4463 | ||||||||||||
| Official Date: | 31 October 2019 | ||||||||||||
| Dates: |
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| Volume: | 6 | ||||||||||||
| Number: | 1 | ||||||||||||
| Article Number: | 257 | ||||||||||||
| DOI: | 10.1038/s41597-019-0205-4 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Access rights to Published version: | Open Access | ||||||||||||
| RIOXX Funder/Project Grant: |
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