HoPhage: an ab initio tool for identifying hosts of phage fragments from metaviromes.
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ABSTRACT: Summary
We present HoPhage (Host of Phage) to identify the host of a given phage fragment from metavirome data at the genus level. HoPhage integrates two modules using a deep learning algorithm and a Markov chain model, respectively. HoPhage achieves 47.90% and 82.47% mean accuracy at the genus and phylum levels for ∼1 kb-long artificial phage fragments when predicting host among 50 genera, representing 7.54%-20.22% and 13.55%-24.31% improvement, respectively. By testing on three real virome samples, HoPhage yields 81.11% mean accuracy at the genus level within a much broader candidate host range.Availability and implementation
HoPhage is available at http://cqb.pku.edu.cn/ZhuLab/HoPhage/.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Tan J
PROVIDER: S-EPMC8723153 | biostudies-literature |
REPOSITORIES: biostudies-literature
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