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Glimmer-MG | Gene prediction with Glimmer for metagenomic sequences augmented by classification and clustering

Allows to detect genes in environmental shotgun DNA sequences. Glimmer-MG is a metagenomics gene prediction system that implements a metagenomics pipeline incorporating classification and clustering of the sequences prior to gene prediction. The software predicts insertion, deletion and stop codon-introducing substitution errors in order to more closely track coding frames in raw error-prone sequences.

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Glimmer-MG classification

Glimmer-MG specifications

Unique identifier:
OMICS_01487
Interface:
Command line interface
Operating system:
Unix/Linux
Version:
0.3.2
Maintained:
Yes
Software type:
Pipeline/Workflow
Restrictions to use:
None
Computer skills:
Advanced
Stability:
Stable

Glimmer-MG distribution

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Glimmer-MG support

Documentation

Maintainers

  • David Kelley <>
  • David Kelley <>

Additional information

Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Broad Institute, Cambridge, MA, USA; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine Baltimore, MD, USA

Credits

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Publications

Institution(s)

Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Broad Institute, Cambridge, MA, USA; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine Baltimore, MD, USA

Funding source(s)

Supported by National Institute of Health grants (R01-LM083873 and R01-HG006677).

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