Trait Analysis by aSSociation, Evolution and Linkage
A powerful, open software package for evaluating trait associations, evolutionary patterns, and linkage disequilibrium.
General Linear Model (GLM) and Mixed Linear Model (MLM) approaches. MLM (Nature Genetics) reduces Type I error in complex pedigrees and population structures.
Explore the modelsBit-encoded nucleotides make genetic distance and linkage disequilibrium estimates 20–50× faster.
First-class support for insertions & deletions, a dominant form of polymorphism in species like maize.
Native installers for macOS, Windows, and Linux, plus the standalone command-line distribution.
Go to downloadsExtract and call SNPs from massive Genotyping-by-Sequencing datasets — tested at 60,000 samples × 2.5M SNPs.
Install TASSEL, explore the user manual and pipelines, and download test data to follow along.
Get startedTASSEL is a software package to evaluate trait associations, evolutionary patterns, and linkage disequilibrium. Strengths of this software:
Overall Package
Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES. (2007) TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics 23:2633–2635.
For BibTeX users:
@article{Bradbury2007,
author = {Bradbury, Peter J. and Zhang, Zhiwu and Kroon, Dallas E. and Casstevens, Terry M. and Ramdoss, Yogesh and Buckler, Edward S.},
title = {{TASSEL}: Software for association mapping of complex traits in diverse samples},
journal = {Bioinformatics},
volume = {23},
number = {19},
pages = {2633--2635},
year = {2007},
doi = {10.1093/bioinformatics/btm308},
url = {https://doi.org/10.1093/bioinformatics/btm308}
}Archived versions of TASSEL (versions 3 and 4) can be found on our releases page.
We recommend first searching the archives and posting questions on the Google Discussion Group. If you are on GitHub, we also have a discussion forum on the TASSEL code repository.
TASSEL development has been generously supported by the USDA-ARS and the NSF.