MGRA specifications

Information


Unique identifier OMICS_21805
Name MGRA
Alternative names Multiple Genome Rearrangements and Ancestors, GRIMM-Synteny
Software type Application/Script
Interface Web user interface
Restrictions to use None
Input data A set of genomes represented as sequences of genes or synteny blocks.
Input format GRIMM,INFERCARS
Output data Ancestral genomes at the internal nodes of the phylogenetic tree, a most plausible phylogenetic tree based on the rearrangement characters.
Computer skills Basic
Version 2
Stability Stable
Source code URL https://codeload.github.com/compbiol/mgra/zip/master
Maintained Yes

Taxon


  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus
    • Rattus norvegicus

Documentation


Maintainers


  • person_outline Pavel Pevzner <>
  • person_outline Max Alekseyev <>

Information


Unique identifier OMICS_21805
Name MGRA
Alternative names Multiple Genome Rearrangements and Ancestors, GRIMM-Synteny
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A set of genomes represented as sequences of genes or synteny blocks.
Input format GRIMM,INFERCARS
Output data Ancestral genomes at the internal nodes of the phylogenetic tree, a most plausible phylogenetic tree based on the rearrangement characters.
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.3.0
Stability Beta
Maintained Yes

Taxon


  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus
    • Rattus norvegicus

Download


Versioning


Add your version

Documentation


Maintainers


  • person_outline Pavel Pevzner <>
  • person_outline Max Alekseyev <>

Publications for Multiple Genome Rearrangements and Ancestors

MGRA institution(s)
Computational Biology Institute & Department of Mathematics, The George Washington University, Washington DC, USA; Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA; Department of Higher Mathematics, ITMO University, St. Petersburg, Russia
MGRA funding source(s)
Supported by the National Science Foundation under the grant No. IIS- 1462107.

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