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SOP for pathway inference in Integrated Microbial Genomes (IMG)
One of the most important aspects of genomic analysis is the prediction of which pathways, both metabolic and non-metabolic, are present in an organism. In IMG, this is carried out by the assignment of IMG terms, which are organized into IMG pathways. Based on manual and automatic assignment of IMG...
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/PMC3368422/ https://www.ncbi.nlm.nih.gov/pubmed/22675591 http://dx.doi.org/10.4056/sigs.1193182 |
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author | Anderson, Iain Chen, Amy Markowitz, Victor Kyrpides, Nikos Ivanova, Natalia |
author_facet | Anderson, Iain Chen, Amy Markowitz, Victor Kyrpides, Nikos Ivanova, Natalia |
author_sort | Anderson, Iain |
collection | PubMed |
description | One of the most important aspects of genomic analysis is the prediction of which pathways, both metabolic and non-metabolic, are present in an organism. In IMG, this is carried out by the assignment of IMG terms, which are organized into IMG pathways. Based on manual and automatic assignment of IMG terms, the presence or absence of IMG pathways is automatically inferred. The three categories of pathway assertion are asserted (likely present), not asserted (likely absent), and unknown. In the unknown category, at least one term necessary for the pathway is missing, but an ortholog in another organism has the corresponding term assigned to it. Automatic pathway inference is an important initial step in genome analysis. |
format | Online Article Text |
id | pubmed-3368422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Michigan State University |
record_format | MEDLINE/PubMed |
spelling | pubmed-33684222012-06-06 SOP for pathway inference in Integrated Microbial Genomes (IMG) Anderson, Iain Chen, Amy Markowitz, Victor Kyrpides, Nikos Ivanova, Natalia Stand Genomic Sci Standard Operating Procedures One of the most important aspects of genomic analysis is the prediction of which pathways, both metabolic and non-metabolic, are present in an organism. In IMG, this is carried out by the assignment of IMG terms, which are organized into IMG pathways. Based on manual and automatic assignment of IMG terms, the presence or absence of IMG pathways is automatically inferred. The three categories of pathway assertion are asserted (likely present), not asserted (likely absent), and unknown. In the unknown category, at least one term necessary for the pathway is missing, but an ortholog in another organism has the corresponding term assigned to it. Automatic pathway inference is an important initial step in genome analysis. Michigan State University 2011-12-22 /pmc/articles/PMC3368422/ /pubmed/22675591 http://dx.doi.org/10.4056/sigs.1193182 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 Anderson, Iain Chen, Amy Markowitz, Victor Kyrpides, Nikos Ivanova, Natalia SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title | SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title_full | SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title_fullStr | SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title_full_unstemmed | SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title_short | SOP for pathway inference in Integrated Microbial Genomes (IMG) |
title_sort | sop for pathway inference in integrated microbial genomes (img) |
topic | Standard Operating Procedures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368422/ https://www.ncbi.nlm.nih.gov/pubmed/22675591 http://dx.doi.org/10.4056/sigs.1193182 |
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