Dataset Information
HoPhage: an ab initio tool for identifying hosts of phage fragments from metaviromes.
Ontology highlight
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/data/.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Tan J
PROVIDER: S-EPMC8723153 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Publications
HoPhage: an ab initio tool for identifying hosts of phage fragments from metaviromes.
Bioinformatics (Oxford, England) 20220101 2
<h4>Summary</h4>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 viro ...[more]