The IGS Standard Operating Procedure for Automated Prokaryotic Annotation

The Institute for Genome Sciences (IGS) has developed a prokaryotic annotation pipeline that is used for coding gene/RNA prediction and functional annotation of Bacteria and Archaea. The fully automated pipeline accepts one or many genomic sequences as input and produces output in a variety of stand...

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Detalles Bibliográficos
Autores principales: Galens, Kevin, Orvis, Joshua, Daugherty, Sean, Creasy, Heather H., Angiuoli, Sam, White, Owen, Wortman, Jennifer, Mahurkar, Anup, Giglio, Michelle Gwinn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Michigan State University 2011
Materias:
Short Genome Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111993/
https://www.ncbi.nlm.nih.gov/pubmed/21677861
http://dx.doi.org/10.4056/sigs.1223234
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author Galens, Kevin
Orvis, Joshua
Daugherty, Sean
Creasy, Heather H.
Angiuoli, Sam
White, Owen
Wortman, Jennifer
Mahurkar, Anup
Giglio, Michelle Gwinn
author_facet Galens, Kevin
Orvis, Joshua
Daugherty, Sean
Creasy, Heather H.
Angiuoli, Sam
White, Owen
Wortman, Jennifer
Mahurkar, Anup
Giglio, Michelle Gwinn
author_sort Galens, Kevin
collection PubMed
description The Institute for Genome Sciences (IGS) has developed a prokaryotic annotation pipeline that is used for coding gene/RNA prediction and functional annotation of Bacteria and Archaea. The fully automated pipeline accepts one or many genomic sequences as input and produces output in a variety of standard formats. Functional annotation is primarily based on similarity searches and motif finding combined with a hierarchical rule based annotation system. The output annotations can also be loaded into a relational database and accessed through visualization tools.
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spelling pubmed-31119932011-06-14 The IGS Standard Operating Procedure for Automated Prokaryotic Annotation Galens, Kevin Orvis, Joshua Daugherty, Sean Creasy, Heather H. Angiuoli, Sam White, Owen Wortman, Jennifer Mahurkar, Anup Giglio, Michelle Gwinn Stand Genomic Sci Short Genome Reports The Institute for Genome Sciences (IGS) has developed a prokaryotic annotation pipeline that is used for coding gene/RNA prediction and functional annotation of Bacteria and Archaea. The fully automated pipeline accepts one or many genomic sequences as input and produces output in a variety of standard formats. Functional annotation is primarily based on similarity searches and motif finding combined with a hierarchical rule based annotation system. The output annotations can also be loaded into a relational database and accessed through visualization tools. Michigan State University 2011-04-25 /pmc/articles/PMC3111993/ /pubmed/21677861 http://dx.doi.org/10.4056/sigs.1223234 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 Short Genome Reports
Galens, Kevin
Orvis, Joshua
Daugherty, Sean
Creasy, Heather H.
Angiuoli, Sam
White, Owen
Wortman, Jennifer
Mahurkar, Anup
Giglio, Michelle Gwinn
The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title_full The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title_fullStr The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title_full_unstemmed The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title_short The IGS Standard Operating Procedure for Automated Prokaryotic Annotation
title_sort igs standard operating procedure for automated prokaryotic annotation
topic Short Genome Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111993/
https://www.ncbi.nlm.nih.gov/pubmed/21677861
http://dx.doi.org/10.4056/sigs.1223234
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