Tassel Version 4.0 (Larger Data Sets / Faster) (Build: May 16, 2013 Requires: Java 1.6)
Launch TASSEL 4.0 Launch TASSEL 4.0 (950Mb Heap Size) (Use if Error Creating Java Virtual Machine) TASSEL 4.0 Standalone (Using Git - Recommended!) (Do Not Use for GBS Pipeline - Under Development.)
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Tassel Version 3.0 (Build: May 16, 2013 Requires: Java 1.6)
Launch TASSEL 3.0 Launch TASSEL 3.0 (950Mb Heap Size) Launch TASSEL 3.0 (512Mb Heap Size) TASSEL 3.0 Standalone (Using Git - Recommended!) (For GBS Pipeline)
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Tassel Documentation
Tassel 3.0 User's Guide (Updated: December 22, 2011)
Tassel Tutorial Data
Visit Tassel User Group
Tassel FAQs
Tassel 4.0 Change History
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Tassel Pipeline Documentation
Tassel 3.0 / 4.0 Pipeline Document (Updated May 9, 2013)
Tassel 3.0 GBS Pipeline Document (Updated September 13, 2012)
Tassel 3.0 UNEAK Pipeline Document (Updated May 11, 2012)
Tassel 4.0 Merge Alignments Document (Updated May 10, 2013)
Tassel 3.0 Pipeline Tutorial (Updated May 11, 2011)
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Tassel 3.0 Video Tutorials
Demonstration of MLM Association Analysis with Gramene Diversity Data
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Tassel Development
Tassel Development
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Archived Tassel
Archived Tassel Executables and Documentation
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To Report Bugs or Request Features, please go to sourceforge , and click "Create Ticket"(You Must be Logged In)
Tassel Bug Tracking
Tassel Feature Requests
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Contacts
We hope this analytical software has been helpful for your research. Please recommend or write a review on sourceforge.
Tassel Sourceforge Project
We recommend first searching the archives and posting questions on the discussion group
Tassel User Group (
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Software Architect
Terry Casstevens (
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Analysis Tools / MLM / GLM
Peter Bradbury (
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Zhiwu Zhang (
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Overall Project Lead
Ed Buckler (
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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.
TASSEL is a software package to evaluate traits associations, evolutionary patterns, and linkage disequilibrium. Strengths of this software:
1. It provides a number of new and powerful statistical approaches to association mapping such as a General Linear Model (GLM) and Mixed Linear Model (MLM). MLM is an implementation of the technique which our recently published Nature Genetics paper - Unified Mixed-Model Method for Association Mapping - which reduces Type I error in association mapping with complex pedigrees, families, founding effects and population structure.
2. Ability to handle a wide range of indels (insertion & deletions). Most software package ignore this type of polymorphism, however, in some species (like maize) this is the most common type of polymorphism.
Alignment Viewer

Linkage Disequilibrium Display

Manhattan Plot

Genetic Distance Heat Map

Phylogenetic Tree using Archaeopteryx

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