ArticleBioinformatics (Oxford, England)2019
GWASpro: a high-performance genome-wide association analysis server.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Genome-Wide Identification of Candidate Loci Associated with the Regulation of the Protein, Oil, and Carbohydrate Content in Soybean.Plants (Basel, Switzerland) · 2026Article
- Molecular marker development for salt tolerance in cowpea: insights from genome-wide association analysis at the early vegetative stage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Identification of candidate loci regulating seed-associated traits in soybean using genome-wide association study and image-based high-throughput phenotyping.Frontiers in plant science · 2026Article
- Identification of Novel Genetic Loci Related to 100-Seed Weight in the Korean Soybean Core Collection Using a Genome-Wide Association Study.International journal of molecular sciences · 2025Article
- GWASTool: A web pipeline for detecting SNP-phenotype associations.Fundamental research · 2024Article
- A Genome-Wide Association Study of Protein, Oil, and Amino Acid Content in Wild Soybean (Plants (Basel, Switzerland) · 2023Article
- Review
- Genome-Wide Association Studies of Seven Root Traits in Soybean (International journal of molecular sciences · 2023Article
- Genome-Scale Profiling and High-Throughput Analyses Unravel the Genetic Basis of Arsenic Content Variation in Rice.Frontiers in plant science · 2022Article
- Article
- Using precision phenotyping to inform de novo domestication.Plant physiology · 2021Article
- MMAP: a cloud computing platform for mining the maximum accuracy of predicting phenotypes from genotypes.Bioinformatics (Oxford, England) · 2021Article
- Molecular approaches for improving oil palm for oil.Molecular breeding : new strategies in plant improvement · 2021Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryWe 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. 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. AVAILABILITY AND IMPLEMENTATION: GWASpro is freely available at https://bioinfo.noble.org/GWASPRO. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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