Journal article
Enabling global clinical collaborations on identifiable patient data: The Minerva Initiative
- Abstract:
-
The clinical utility of computational phenotyping for both genetic and rare diseases is increasingly appreciated; however, its true potential is yet to be fully realized. Alongside the growing clinical and research availability of sequencing technologies, precise deep and scalable phenotyping is required to serve unmet need in genetic and rare diseases. To improve the lives of individuals affected with rare diseases through deep phenotyping, global big data interrogation is necessary to aid o...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- Frontiers Media Publisher's website
- Journal:
- Frontiers in Genetics Journal website
- Volume:
- 10
- Pages:
- 611
- Publication date:
- 2019-07-29
- Acceptance date:
- 2019-06-12
- DOI:
- EISSN:
-
1664-8021
- Source identifiers:
-
1036931
Item Description
- Keywords:
- Pubs id:
-
pubs:1036931
- UUID:
-
uuid:c7123389-1d80-4f3c-ac11-81876354cfc8
- Local pid:
- pubs:1036931
- Deposit date:
- 2019-08-01
Terms of use
- Copyright holder:
- Nellåker et al
- Copyright date:
- 2019
- Notes:
- © 2019 Nellåker, Alkuraya, Baynam, Bernier, Bernier, Boulanger, Brudno, Brunner, Clayton-Smith, Cogné, Dawkins, deVries, Douzgou, Dudding-Byth, Eichler, Ferlaino, Fieggen, Firth, FitzPatrick, Gration, Groza, Haendel, Hallowell, Hamosh, Hehir-Kwa, Hitz, Hughes, Kini, Kleefstra, Kooy, Krawitz, Küry, Lees, Lyon, Lyonnet, Marcadier, Meyn, Moslerová, Politei, Poulton, Raymond, Reijnders, Robinson, Romano, Rose, Sainsbury, Schofield, Sutton, Turnovec, Van Dijck, Van Esch,Wilkie and The Minerva Consortium. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
- Licence:
- CC Attribution (CC BY)
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