Mussa

Multi-Species Sequence Analysis

We be plundering the High Sequence Seas For the hidden Treasures of Conservation

About Mussa

Mussa is an N-way version of the ​FamilyRelations (which is a part of the ​Cartwheel project) 2-way comparative sequence analysis software. Given DNA sequence from N species, Mussa uses all possible pairwise comparions to derive an N-wise comparison. For example, given sequences 1,2,3, and 4, Mussa makes 6 2-way comparisons: 1vs2, 1vs3, 1vs4, 2vs3, 2vs4, and 3vs4. It then compares all the links between these comparisons, saving those that satisfy a transitivity requirement. The saved paths are then displayed in an interactive viewer.

Download

Currently, we provide two types of binary releases for Mussagl. The first is a development build and the second is a stable release build.

Development Build - New builds as new features / bug fixes are implemented. Many times these builds will be stable, but from time to time, a new feature will break something.

LatestBinaryBuild

Stable Releases:

Application	Version	License	Linux (Binary)	Mac OS X (Binary)	Windows XP (Binary)	Source	Version Control
Mussagl	1.0.0	​GPL v2	N/A	Available later today	​Win32 Installer	See Version Control	darcs
Mussagl	development builds	​GPL v2	See development builds above	See development builds above	See development builds above	See Version Control	darcs

Contact

If you would like to contact us about Mussagl, feel free to e-mail one or both of us:

• Diane Trout <diane (at) caltech.edu>
• Brandon King <kingb (at) caltech.edu>

Documentation

• ​Mussagl User Guide
• Mussagl Video Tutorials - Work in Progress
• Example Data
• Developement Roadmap

• Checking out Mussagl from Revision Control
• Recent Mussagl Changes in Revision Control
• Building Mussagl from Source

• PerformanceNotes

Feature Requests / Bugs

• Submit a new feature request/bug ticket
• View existing tickets

Older Mussa Versions

• Mussa - C++/FLTK Version
• Mussa Prototype (Retired) - Python/PMW Version

Development Credits

• Mussagl: Diane Trout with assitance from Brandon King (Core algorithms retained from Mussa (C++/FLTK) )
• C++/FLTK conversion: Tristan De Buysscher with assistance from ​Titus Brown
• Python/PMW prototype: ​Tristan De Buysscher & Nora Mullaney
• Consulting User: ​Erich Schwarz
• Principal Investigators: ​Barbara Wold, ​Paul Sternberg

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