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

Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler

doi:10.1093/bioinformatics/btm308

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

Journal article

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Peer reviewed

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

Peter J Bradbury, Zhiwu Zhang, Dallas E Kroon, Terry M Casstevens, Yogesh Ramdoss and Edward S Buckler

Bioinformatics, Vol.23(19), pp.2633-2635

10/01/2007

DOI: https://doi.org/10.1093/bioinformatics/btm308

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https://hdl.handle.net/2376/108252

PMID: 17586829

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Abstract

Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly important. In most studies, however, researchers must contend with the confounding effects of both population and family structure. TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure. For result interpretation, the program allows for linkage disequilibrium statistics to be calculated and visualized graphically. Database browsing and data importation is facilitated by integrated middleware. Other features include analyzing insertions/deletions, calculating diversity statistics, integration of phenotypic and genotypic data, imputing missing data and calculating principal components. Availability: The TASSEL executable, user manual, example data sets and tutorial document are freely available at http://www.maizegenetics.net/tassel. The source code for TASSEL can be found at http://sourceforge.net/projects/tassel. Contact: pjb39@cornell.edu

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Title: TASSEL: software for association mapping of complex traits in diverse samples
Creators: Peter J Bradbury - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Zhiwu Zhang - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Dallas E Kroon - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Terry M Casstevens - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Yogesh Ramdoss - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Edward S Buckler - 1United States Department of Agriculture-Agricultural Research Service, 2Institute for Genomic Diversity, Cornell University, Ithaca, New York and 3Cisco Systems, RTP, NC, USA
Publication Details: Bioinformatics, Vol.23(19), pp.2633-2635
Academic Unit: Crop and Soil Sciences, Department of
Publisher: Oxford University Press
Identifiers: 99900547050001842
Language: English
Resource Type: Journal article