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
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, to comprehensively
identify and analyze phage contigs in metagenomic data. To our best knowledge,
this is the first web server that supports integrated phage analysis, including
detecting phage contigs 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. With the user-friendly graphical interface,
users with or without informatics training can easily use the web server for
analyzing phages in microbiome data.
Availability: The web server of PhaBOX is available via:
https://phage.ee.cityu.edu.hk. The source code of PhaBOX is available via:
https://github.com/KennthShang/PhaBOX
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