GWASpro: A High-Performance Genome-Wide Association Analysis Server

Date
2018-01-01
Authors
KIm, Bongsong
Dai, Xinbin
Lubberstedt, Thomas
Zhang, Wenchao
Zhuang, Zhaohong
Sanchez, Darlene
Lubberstedt, Thomas
Kang, Yun
Udvardi, Michael
Beavis, William
Xu, Shizhong
Zhao, Patrick
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Agronomy
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Agronomy
Abstract

We present GWASpro, a high-performance web server for the analyses of large-scale genome-wide association studies (GWAS). GWASpro was developed to provide data analyses for large-scale molecular genetic data, coupled with complex replicated experimental designs such as found in plant science investigations, and to overcome the steep learning curves of existing GWAS software tools. GWASpro supports building complex design matrices, by which complex experimental designs that may include replications, treatments, locations and times, can be accounted for in the linear mixed model (LMM). GWASpro is optimized to handle GWAS data that may consist of up to 10 million markers and 10,000 samples from replicable lines or hybrids. GWASpro provides an interface that significantly reduces the learning curve for new GWAS investigators.

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This is a manuscript of an article published as Kim, Bongsong, Xinbin Dai, Wenchao Zhang, Zhaohong Zhuang, Darlene L. Sanchez, Thomas Lübberstedt, Yun Kang et al. "GWASpro: A High-Performance Genome-Wide Association Analysis Server." Bioinformatics (2018). doi: 10.1093/bioinformatics/bty989.

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