TreefixDTL specifications


Unique identifier OMICS_31847
Name TreefixDTL
Alternative name Treefix-DTL
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A single maximum likelihood (ML) gene tree.
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Version 1.0.2
Stability Stable
Requirements Numpy, Scipy
Maintained Yes



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  • person_outline Mukul S. Bansal <>
  • person_outline Manolis Kellis <>

Additional information

Publication for TreefixDTL

TreefixDTL institution(s)
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Cambridge, MA, USA; Broad Institute, Cambridge, MA, USA
TreefixDTL funding source(s)
Supported by a National Science Foundation [CAREER award 0644282], National Institutes of Health [RC2 HG005639], National Science Foundation AToL [0936234], and startup funds from the University of Connecticut.

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