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TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data
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 dat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Michigan State University
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3156399/ https://www.ncbi.nlm.nih.gov/pubmed/21886867 http://dx.doi.org/10.4056/sigs.1694706 |
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author | Lorenzi, Hernan A. Hoover, Jeff Inman, Jason Safford, Todd Murphy, Sean Kagan, Leonid Williamson, Shannon J. |
author_facet | Lorenzi, Hernan A. Hoover, Jeff Inman, Jason Safford, Todd Murphy, Sean Kagan, Leonid Williamson, Shannon J. |
author_sort | Lorenzi, Hernan A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3156399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Michigan State University |
record_format | MEDLINE/PubMed |
spelling | pubmed-31563992011-08-31 TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data Lorenzi, Hernan A. Hoover, Jeff Inman, Jason Safford, Todd Murphy, Sean Kagan, Leonid Williamson, Shannon J. Stand Genomic Sci Standard Operating Procedures 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. Michigan State University 2011-06-30 /pmc/articles/PMC3156399/ /pubmed/21886867 http://dx.doi.org/10.4056/sigs.1694706 Text en http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Standard Operating Procedures Lorenzi, Hernan A. Hoover, Jeff Inman, Jason Safford, Todd Murphy, Sean Kagan, Leonid Williamson, Shannon J. TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title | TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title_full | TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title_fullStr | TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title_full_unstemmed | TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title_short | TheViral MetaGenome Annotation Pipeline(VMGAP):an automated tool for the functional annotation of viral Metagenomic shotgun sequencing data |
title_sort | theviral metagenome annotation pipeline(vmgap):an automated tool for the functional annotation of viral metagenomic shotgun sequencing data |
topic | Standard Operating Procedures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3156399/ https://www.ncbi.nlm.nih.gov/pubmed/21886867 http://dx.doi.org/10.4056/sigs.1694706 |
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