ArticlePlant physiology2012
Matapax: an online high-throughput genome-wide association study pipeline.
Article in Plant physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- SAGA (Simplified Association Genome-wide Analyses): a user-friendly Pipeline to Democratize Genome-Wide Association Studies.bioRxiv : the preprint server for biology · 2025Article
- Using precision phenotyping to inform de novo domestication.Plant physiology · 2021Article
- Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies.Neuroinformatics · 2021Article
- TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019Article
- CeNDR, the Caenorhabditis elegans natural diversity resource.Nucleic acids research · 2017Article
- easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies.The Plant cell · 2017Article
- SNiPlay3: a web-based application for exploration and large scale analyses of genomic variations.Nucleic acids research · 2015Article
- Characterization and identification of cis-regulatory elements in Arabidopsis based on single-nucleotide polymorphism information.Plant physiology · 2014Article
- GWAPP: a web application for genome-wide association mapping in Arabidopsis.The Plant cell · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput sequencing and genotyping methods are dramatically increasing the number of observable genetic intraspecies differences that can be exploited as genetic markers. In addition, automated phenotyping platforms and "omics" profiling technologies further enlarge the set of quantifiable macroscopic and molecular traits at an ever-increasing pace. Combined, both lines of technological advances create unparalleled opportunities to identify candidate gene regions and, ideally, even single genes responsible for observed variations in a particular trait via association studies. However, as of yet, this new potential is not sufficiently matched by enabling software solutions to easily exploit this wealth of genotype/phenotype information. We have developed Matapax, a Web-based platform to address this need. Initially, we built the infrastructure to support association studies in Arabidopsis (Arabidopsis thaliana) based on several genotyping efforts covering up to 1,375 Arabidopsis accessions. Based on the user-supplied trait information, associated single-nucleotide polymorphism markers and single-nucleotide polymorphism-harboring or -neighboring genes are identified using both the GAPIT and EMMA libraries developed for R. Additional interrogation is facilitated by displaying candidate regions and genes in a genome browser and by providing relevant annotation information. In the future, we plan to broaden the scope of organisms to other plant species as more genotype/phenotype information becomes available. Matapax is freely available at http://matapax.mpimp-golm.mpg.de and can be accessed using any internet browser.
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Registered trials
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