Kavli Affiliate: Cheng Peng
| First 5 Authors: Jiayu Shang, Cheng Peng, Herui Liao, Xubo Tang, Yanni Sun
| Summary:
Motivation: There is accumulating evidence showing the important roles of
bacteriophages (phages) in regulating the structure and functions of the
microbiome. However, lacking an easy-to-use and integrated phage analysis
software hampers microbiome-related research from incorporating phages in the
analysis. Results: In this work, we developed a web server, PhaBOX, which can
comprehensively identify and analyze phage contigs in metagenomic data. It
supports integrated phage analysis, including phage contig identification from
the metagenomic assembly, lifestyle prediction, taxonomic classification, and
host prediction. Instead of treating the algorithms as a black box, PhaBOX also
supports visualization of the essential features for making predictions. The
web server is designed with a user-friendly graphical interface that enables
both informatics-trained and non-specialist users to analyze phages in
microbiome data with ease. Availability: The web server of PhaBOX is available
via: https://phage.ee.cityu.edu.hk. The source code of PhaBOX is available at:
https://github.com/KennthShang/PhaBOX Contact: yannisun@cityu.edu.hk
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