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Comparison of functional classification systems

In microbiome analysis, functional profiling is based on assigning reads or contigs to terms or nodes in a functional classification system. There are a number of large, general-purpose functional classifications that are in use, such as eggNOG, KEGG, InterPro and SEED. Smaller, special-purpose clas...

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Autores principales: Zeller, Monika, Huson, Daniel H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713901/
https://www.ncbi.nlm.nih.gov/pubmed/36465499
http://dx.doi.org/10.1093/nargab/lqac090
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author Zeller, Monika
Huson, Daniel H
author_facet Zeller, Monika
Huson, Daniel H
author_sort Zeller, Monika
collection PubMed
description In microbiome analysis, functional profiling is based on assigning reads or contigs to terms or nodes in a functional classification system. There are a number of large, general-purpose functional classifications that are in use, such as eggNOG, KEGG, InterPro and SEED. Smaller, special-purpose classifications include CARD, EC, MetaCyc and VFDB. Here, we compare the different classifications in terms of their overlap, redundancy, structure and assignment rates. We also provide mappings between main concepts in different classifications. For the large classifications, we find that eggNOG performs the best with respect to sequence redundancy and structure, SEED has the cleanest hierarchy, whereas KEGG and InterPro:BP might be more informative for medical applications. We illustrate the practical assignment rates for different classifications using a number of metagenomic samples.
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spelling pubmed-97139012022-12-02 Comparison of functional classification systems Zeller, Monika Huson, Daniel H NAR Genom Bioinform Standard Article In microbiome analysis, functional profiling is based on assigning reads or contigs to terms or nodes in a functional classification system. There are a number of large, general-purpose functional classifications that are in use, such as eggNOG, KEGG, InterPro and SEED. Smaller, special-purpose classifications include CARD, EC, MetaCyc and VFDB. Here, we compare the different classifications in terms of their overlap, redundancy, structure and assignment rates. We also provide mappings between main concepts in different classifications. For the large classifications, we find that eggNOG performs the best with respect to sequence redundancy and structure, SEED has the cleanest hierarchy, whereas KEGG and InterPro:BP might be more informative for medical applications. We illustrate the practical assignment rates for different classifications using a number of metagenomic samples. Oxford University Press 2022-12-01 /pmc/articles/PMC9713901/ /pubmed/36465499 http://dx.doi.org/10.1093/nargab/lqac090 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Standard Article
Zeller, Monika
Huson, Daniel H
Comparison of functional classification systems
title Comparison of functional classification systems
title_full Comparison of functional classification systems
title_fullStr Comparison of functional classification systems
title_full_unstemmed Comparison of functional classification systems
title_short Comparison of functional classification systems
title_sort comparison of functional classification systems
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713901/
https://www.ncbi.nlm.nih.gov/pubmed/36465499
http://dx.doi.org/10.1093/nargab/lqac090
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