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MGC | A metagenomic gene caller

A metagenomics gene caller which is based on a two-stage machine learning approach similar to that of the state-of-the-art program Orphelia. MGC learns separate models for several pre-defined GC ranges as opposed to the single model approach used by Orphelia and applies the appropriate model to each fragment based on its GC-content.

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MGC classification

MGC specifications

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Metagenomic Gene Caller
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Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA

Funding source(s)

This work is supported by the National Science Foundation under Grant No. DBI-0959427.

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