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

Open access
Bradbury, Peter J., Zhang, Zhiwu, Kroon, Dallas E., Casstevens, Terry M., Ramdoss, Yogesh, Buckler, Edward S.·2007·Bioinformatics

Abstract

Summary: 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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Research works printed but not linked: 9

  1. Casstevens, 2004, GDPC: connecting researchers with multiple integrated data sources, Bioinformatics, 20, 2839, 10.1093/bioinformatics/bth277 · doi:10.1093/bioinformatics/bth277
  2. Churchill, 2004, The collaborative cross, a community resource for the genetic analysis of complex traits, Nat. Genet., 36, 1133, 10.1038/ng1104-1133 · DOI · Paper page
  3. Hardy, 2002, SPAGEDi: a versatile computer program to analyze spatial genetic structure at the individual or population levels, Mol. Ecol. Notes, 2, 618, 10.1046/j.1471-8286.2002.00305.x · DOI · Paper page
  4. Henderson, 1975, Best linear unbiased estimation and prediction under a selection model, Biometrics, 31, 423, 10.2307/2529430 · DOI · Paper page
  5. Pritchard, 2000, Association mapping in structured populations, Am. J. Hum. Genet., 67, 170, 10.1086/302959 · DOI · Paper page
  6. SAS Intstitute Inc, 2002, SAS/STAT software, version 9
  7. Thornsberry, 2001, Dwarf8 polymorphisms associate with variation in flowering time, Nat. Genet., 28, 286, 10.1038/90135 · DOI · Paper page
  8. Yu, 2006, A unified mixed-model method for association mapping that accounts for multiple levels of relatedness, Nat. Genet., 38, 203, 10.1038/ng1702 · DOI · Paper page
  9. Zhao, 2007, An Arabidopsis example of association mapping in structured samples, PLoS Genet, 3, e4, 10.1371/journal.pgen.0030004 · DOI · Paper page

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Metadata

Authors
Bradbury, P. J., Zhang, Z., Kroon, D. E., Casstevens, T. M., Ramdoss, Y., & Buckler, E. S.
Venue
Bioinformatics
Published
2007-06-22
Volume
23
Issue
19
Pages
2633-2635
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2110035718
Cited by
7,759
References
2
FWCI
20.60
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: TASSEL: software for association mapping of complex traits in diverse samples. https://app.cochat.ai/papers/10.1093/bioinformatics/btm308
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Bradbury, P. J., Zhang, Z., Kroon, D. E., Casstevens, T. M., Ramdoss, Y., & Buckler, E. S. (2007). TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics. https://doi.org/10.1093/bioinformatics/btm308

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