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dc.contributor.author
Togninalli, Matteo
dc.contributor.author
Seren, Ümit
dc.contributor.author
Freudenthal, Jan A
dc.contributor.author
Monroe, J. Grey
dc.contributor.author
Meng, Dazhe
dc.contributor.author
Nordborg, Magnus
dc.contributor.author
Weigel, Detlef
dc.contributor.author
Borgwardt, Karsten
dc.contributor.author
Korte, Arthur
dc.contributor.author
Grimm, Dominik G.
dc.date.accessioned
2020-01-16T11:52:14Z
dc.date.available
2020-01-14T09:22:15Z
dc.date.available
2020-01-16T11:52:14Z
dc.date.issued
2020-01-08
dc.identifier.issn
1362-4962
dc.identifier.issn
0301-5610
dc.identifier.other
10.1093/nar/gkz925
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/390118
dc.identifier.doi
10.3929/ethz-b-000390118
dc.description.abstract
Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered and published for the model plant Arabidopsis thaliana. This success and the free availability of full genomes and phenotypic data for more than 1,000 different natural inbred lines led to the development of several data repositories. AraPheno (https://arapheno.1001genomes.org) serves as a central repository of population-scale phenotypes in A. thaliana, while the AraGWAS Catalog (https://aragwas.1001genomes.org) provides a publicly available, manually curated and standardized collection of marker-trait associations for all available phenotypes from AraPheno. In this major update, we introduce the next generation of both platforms, including new data, features and tools. We included novel results on associations between knockout-mutations and all AraPheno traits. Furthermore, AraPheno has been extended to display RNA-Seq data for hundreds of accessions, providing expression information for over 28 000 genes for these accessions. All data, including the imputed genotype matrix used for GWAS, are easily downloadable via the respective databases.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2019-10-23
ethz.journal.title
Nucleic Acids Research
ethz.journal.volume
48
en_US
ethz.journal.issue
D1
en_US
ethz.journal.abbreviated
Nucleic Acids Res.
ethz.pages.start
D1063
en_US
ethz.pages.end
D1068
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. (ehemalig) / Borgwardt, Karsten M. (former)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09486 - Borgwardt, Karsten M. (ehemalig) / Borgwardt, Karsten M. (former)
en_US
ethz.date.deposited
2020-01-14T09:22:30Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-16T11:52:29Z
ethz.rosetta.lastUpdated
2023-02-06T18:11:51Z
ethz.rosetta.versionExported
true
ethz.COinS
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