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TheViral MetaGenome Annotation Pipeline (VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data

Journal Article · · Standards in Genomic Sciences
DOI:https://doi.org/10.4056/sigs.1694706· OSTI ID:1628653
 [1];  [2];  [2];  [2];  [2];  [2];  [2]
  1. J. Craig Venter Inst., Inc., Rockville, MD (United States); DOE/OSTI
  2. J. Craig Venter Inst., Inc., Rockville, MD (United States)
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.
Research Organization:
J. Craig Venter Inst., Inc., Rockville, MD (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
FC02-02ER63453
OSTI ID:
1628653
Journal Information:
Standards in Genomic Sciences, Journal Name: Standards in Genomic Sciences Journal Issue: 3 Vol. 4; ISSN 1944-3277
Publisher:
BioMed CentralCopyright Statement
Country of Publication:
United States
Language:
English

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Computational tools for viral metagenomics and their application in clinical research journal December 2012
VirusSeeker, a computational pipeline for virus discovery and virome composition analysis journal March 2017
Minimum Information about an Uncultivated Virus Genome (MIUViG) journal December 2018
Assessing viral taxonomic composition in benthic marine ecosystems: reliability and efficiency of different bioinformatic tools for viral metagenomic analyses journal June 2016
Metavir 2: new tools for viral metagenome comparison and assembled virome analysis journal January 2014
Metagenomic Exploration of Viruses throughout the Indian Ocean journal October 2012
HoloVir: A Workflow for Investigating the Diversity and Function of Viruses in Invertebrate Holobionts journal June 2016
Virome Assembly and Annotation: A Surprise in the Namib Desert journal January 2017
Overview of Virus Metagenomic Classification Methods and Their Biological Applications journal April 2018
Metagenomic Approaches to Assess Bacteriophages in Various Environmental Niches journal May 2017
The State of Standards in Genomic Sciences journal December 2011
VIROME: a standard operating procedure for analysis of viral metagenome sequences journal July 2012
Metagenomics and Diagnosis of Zoonotic Diseases
  • Cuervo-Soto, Laura Inés; López-Pazos, Silvio Alejandro; Batista-García, Ramón Alberto
  • Farm Animals Diseases, Recent Omic Trends and New Strategies of Treatment https://doi.org/10.5772/intechopen.72634
book March 2018
BluePharmTrain: Biology and Biotechnology of Marine Sponges book May 2018
Going viral: next-generation sequencing applied to phage populations in the human gut journal August 2012
Measuring metagenome diversity and similarity with Hill numbers journal July 2018
ViromeScan: a new tool for metagenomic viral community profiling journal March 2016
Minimum information about an uncultivated virus genome (MIUVIG) text January 2019

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