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easyGWAS: An integrated interspecies platform for performing genome-wide association studies

MPS-Authors
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Grimm,  D
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Greshake,  B
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons285866

Kleeberger,  S
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons84763

Lippert,  C
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Stegle,  O
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons85266

Weigel,  D       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons75313

Borgwardt,  K
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Citation

Grimm, D., Greshake, B., Kleeberger, S., Lippert, C., Stegle, O., Schölkopf, B., et al. (submitted). easyGWAS: An integrated interspecies platform for performing genome-wide association studies.


Cite as: https://hdl.handle.net/21.11116/0000-000C-7B8D-C
Abstract
Motivation: The rapid growth in genome-wide association studies (GWAS) in plants and animals has brought about the need for a central resource that facilitates i) performing GWAS, ii) accessing data and results of other GWAS, and iii) enabling all users regardless of their background to exploit the latest statistical techniques without having to manage complex software and computing resources.
Results: We present easyGWAS, a web platform that provides methods, tools and dynamic visualizations to perform and analyze GWAS. In addition, easyGWAS makes it simple to reproduce results of others, validate findings, and access larger sample sizes through merging of public datasets.
Availability: Detailed method and data descriptions as well as tutorials are available in the supplementary materials.