文章基本信息

标题：The Viral MetaGenome Annotation Pipeline (VMGAP): An automated tool for the functional annotation of viral Metagenomic shotgun sequencing data
本地全文：下载
作者：Hernan A. Lorenzi ; Jeff Hoover ; Jason Inman 等
期刊名称：Environmental Microbiome
印刷版ISSN：2524-6372
出版年度：2011
卷号：4
期号：3
页码：418-429
DOI：10.4056/sigs.1694706
摘要：In the past few years, the field of metagenomics has been growing at an accelerated pace, particularly in response to advancements in new sequencing technologies. The large volume of sequence data from novel organisms generated by metagenomic projects has triggered the development of specialized databases and tools focused on particular groups of organisms or data types. Here we describe a pipeline for the functional annotation of viral metagenomic sequence data. The Viral MetaGenome Annotation Pipeline (VMGAP) pipeline takes advantage of a number of specialized databases, such as collections of mobile genetic elements and environmental metagenomes to improve the classification and functional prediction of viral gene products. The pipeline assigns a functional term to each predicted protein sequence following a suite of comprehensive analyses whose results are ranked according to a priority rules hierarchy. Additional annotation is provided in the form of enzyme commission (EC) numbers, GO/MeGO terms and Hidden Markov Models together with supporting evidence.
关键词：J;Craig Venter Institute;metagenomic annotation;viral annotation