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MacLean, Dan, Yoshida, Kentaro, Edwards, Anne, Crossman, Lisa, Clavijo, Bernardo, Clark, Matt, Swarbreck, David, Bashton, Matthew, Chapman, Patrick, Gijzen, Mark, Caccamo, Mario, Downie, Allan, Kamoun, Sophien 
ORCID: https://orcid.org/0000-0002-0290-0315 and Saunders, Diane G. O.
(2013)
Crowdsourcing genomic analyses of ash and ash dieback - power to the people.
GigaScience, 2 (1).
ISSN 2047-217X
Abstract
Ash dieback is a devastating fungal disease of ash trees that has swept across Europe and recently reached the UK. This emergent pathogen has received little study in the past and its effect threatens to overwhelm the ash population. In response to this we have produced some initial genomics datasets and taken the unusual step of releasing them to the scientific community for analysis without first performing our own. In this manner we hope to 'crowdsource' analyses and bring the expertise of the community to bear on this problem as quickly as possible. Our data has been released through our website at oadb.tsl.ac.uk and a public GitHub repository.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | altmetrics,ash dieback,crowdsource,genomics,open source,computer science applications,health informatics ,/dk/atira/pure/subjectarea/asjc/1700/1706 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences Faculty of Science > The Sainsbury Laboratory Faculty of Science > School of Biological Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Plant Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 14 May 2024 09:33 |
| Last Modified: | 25 Sep 2024 17:48 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/95145 |
| DOI: | 10.1186/2047-217X-2-2 |
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