PhaBOX : A web server for identifying and characterizing phage contigs in metagenomic data

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

6 Scopus Citations
View graph of relations

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article numbervbad101
Journal / PublicationBioinformatics Advances
Volume3
Issue number1
Online published2 Aug 2023
Publication statusPublished - 2023

Link(s)

Abstract

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 nonspecialist users to analyze phages in microbiome data with ease.

Availability and implementation: 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.

© The Author(s) 2023. Published by Oxford University Press.

Research Area(s)

Download Statistics

No data available