Tassel Version 3.0 Beta (Build: September 2, 2010 Requires: Java 1.6)
Launch TASSEL 3.0
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Tassel Version 3.0 Standalone (Build: September 2, 2010 Requires: Java 1.6)
TASSEL 3.0 Standalone
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Tassel Version 2.1 (Build: March 15, 2010 Requires: Java 1.6)
Launch TASSEL 2.1
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Tassel Version 2.1 (Build: March 15, 2010 Requires: Java 1.5)
Launch TASSEL 2.1
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Tassel Version 2.1 Standalone (Build: December 8, 2009 Requires: Java 1.5)
TASSEL 2.1 Standalone
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Tassel Version 2.0.1 (Build: April 23, 2007 Requires: Java 1.5)
Launch TASSEL 2.0.1
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To Report Bugs or Request Features, please go to sourceforge , and click "Add new"...
Tassel Bug Tracking
Tassel Feature Requests
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Tassel Documentation 3.0 (Updated: August 27, 2010)
Tassel User's Guide
Tassel Tutorial Data
Tassel FAQs
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Tassel Documentation 2.1 (Updated: March 13, 2009)
To get started, download the Tassel Help Document and the Tassel Tutorial Data . Follow the tutorial on page 43 of the help document.
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Tassel Pipeline Documentation
Tassel 3.0 Beta Pipeline Document (Updated May 5, 2010)
Tassel Pipeline Document (Updated May 28, 2008)
Tassel MLM/GLM Pipeline Documentation (Updated April 3, 2009)
Tassel LD Pipeline Documentation (Updated April 8, 2009)
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Tassel Import/Export Command Line Interface
For Usage: java -jar AlleleFileConversionPipeline.jar (Updated May 19, 2010)
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Contacts
General Questions / Pipeline / GDPC
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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TASSEL is a software package to evaluate traits associations, evolutionary patterns, and linkage disequilibrium. The strength of this software is in three areas:
1. Integration with various diversity databases including Panzea, Grameme, Sorghum , and GRIN by means of our GDPC middleware .
2. 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.
3. 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.
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