Literature DB >> 22353578

Matapax: an online high-throughput genome-wide association study pipeline.

Liam H Childs1, Jan Lisec, Dirk Walther.   

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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Year:  2012        PMID: 22353578      PMCID: PMC3343729          DOI: 10.1104/pp.112.194027

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  24 in total

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Authors:  Robert J Klein; Caroline Zeiss; Emily Y Chew; Jen-Yue Tsai; Richard S Sackler; Chad Haynes; Alice K Henning; John Paul SanGiovanni; Shrikant M Mane; Susan T Mayne; Michael B Bracken; Frederick L Ferris; Jurg Ott; Colin Barnstable; Josephine Hoh
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

2.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

3.  Recombination and linkage disequilibrium in Arabidopsis thaliana.

Authors:  Sung Kim; Vincent Plagnol; Tina T Hu; Christopher Toomajian; Richard M Clark; Stephan Ossowski; Joseph R Ecker; Detlef Weigel; Magnus Nordborg
Journal:  Nat Genet       Date:  2007-08-05       Impact factor: 38.330

4.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

5.  GAPIT: genome association and prediction integrated tool.

Authors:  Alexander E Lipka; Feng Tian; Qishan Wang; Jason Peiffer; Meng Li; Peter J Bradbury; Michael A Gore; Edward S Buckler; Zhiwu Zhang
Journal:  Bioinformatics       Date:  2012-07-13       Impact factor: 6.937

6.  The 1001 genomes project for Arabidopsis thaliana.

Authors:  Detlef Weigel; Richard Mott
Journal:  Genome Biol       Date:  2009-05-27       Impact factor: 13.583

7.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

8.  Natural allelic variation underlying a major fitness trade-off in Arabidopsis thaliana.

Authors:  Marco Todesco; Sureshkumar Balasubramanian; Tina T Hu; M Brian Traw; Matthew Horton; Petra Epple; Christine Kuhns; Sridevi Sureshkumar; Christopher Schwartz; Christa Lanz; Roosa A E Laitinen; Yu Huang; Joanne Chory; Volker Lipka; Justin O Borevitz; Jeffery L Dangl; Joy Bergelson; Magnus Nordborg; Detlef Weigel
Journal:  Nature       Date:  2010-06-03       Impact factor: 49.962

9.  Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel.

Authors:  Matthew W Horton; Angela M Hancock; Yu S Huang; Christopher Toomajian; Susanna Atwell; Adam Auton; N Wayan Muliyati; Alexander Platt; F Gianluca Sperone; Bjarni J Vilhjálmsson; Magnus Nordborg; Justin O Borevitz; Joy Bergelson
Journal:  Nat Genet       Date:  2012-01-08       Impact factor: 38.330

10.  Analysis and visualization of Arabidopsis thaliana GWAS using web 2.0 technologies.

Authors:  Yu S Huang; Matthew Horton; Bjarni J Vilhjálmsson; Umit Seren; Dazhe Meng; Christopher Meyer; Muhammad Ali Amer; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Database (Oxford)       Date:  2011-05-23       Impact factor: 3.451

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  8 in total

1.  Characterization and identification of cis-regulatory elements in Arabidopsis based on single-nucleotide polymorphism information.

Authors:  Paula Korkuc; Jos H M Schippers; Dirk Walther
Journal:  Plant Physiol       Date:  2013-11-07       Impact factor: 8.340

2.  easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies.

Authors:  Dominik G Grimm; Damian Roqueiro; Patrice A Salomé; Stefan Kleeberger; Bastian Greshake; Wangsheng Zhu; Chang Liu; Christoph Lippert; Oliver Stegle; Bernhard Schölkopf; Detlef Weigel; Karsten M Borgwardt
Journal:  Plant Cell       Date:  2016-12-16       Impact factor: 11.277

3.  GWAPP: a web application for genome-wide association mapping in Arabidopsis.

Authors:  Ümit Seren; Bjarni J Vilhjálmsson; Matthew W Horton; Dazhe Meng; Petar Forai; Yu S Huang; Quan Long; Vincent Segura; Magnus Nordborg
Journal:  Plant Cell       Date:  2012-12-31       Impact factor: 11.277

4.  Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies.

Authors:  Lu Zhao; Ishaan Batta; William Matloff; Caroline O'Driscoll; Samuel Hobel; Arthur W Toga
Journal:  Neuroinformatics       Date:  2021-04

5.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

6.  SNiPlay3: a web-based application for exploration and large scale analyses of genomic variations.

Authors:  Alexis Dereeper; Felix Homa; Gwendoline Andres; Guilhem Sempere; Gautier Sarah; Yann Hueber; Jean-François Dufayard; Manuel Ruiz
Journal:  Nucleic Acids Res       Date:  2015-06-03       Impact factor: 16.971

7.  CeNDR, the Caenorhabditis elegans natural diversity resource.

Authors:  Daniel E Cook; Stefan Zdraljevic; Joshua P Roberts; Erik C Andersen
Journal:  Nucleic Acids Res       Date:  2016-10-03       Impact factor: 16.971

8.  TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data.

Authors:  Masahiko Kumagai; Daiki Nishikawa; Yoshihiro Kawahara; Hironobu Wakimoto; Ryutaro Itoh; Norio Tabei; Tsuyoshi Tanaka; Takeshi Itoh
Journal:  DNA Res       Date:  2019-12-01       Impact factor: 4.458

  8 in total

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