MARVEL, a Tool for Prediction of Bacteriophage Sequences in Metagenomic Bins

Here we present MARVEL, a tool for prediction of double-stranded DNA bacteriophage sequences in metagenomic bins. MARVEL uses a random forest machine learning approach. We trained the program on a dataset with 1,247 phage and 1,029 bacterial genomes, and tested it on a dataset with 335 bacterial and...

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Foilsithe in:Front Genet
Main Authors: Amgarten, Deyvid, Braga, Lucas P. P., da Silva, Aline M., Setubal, João C.
Formáid: Artigo
Teanga:Inglês
Foilsithe: Frontiers Media S.A. 2018
Ábhair:
Genetics
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6090037/
https://ncbi.nlm.nih.gov/pubmed/30131825
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00304
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