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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9713901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zellermonika comparisonoffunctionalclassificationsystems AT husondanielh comparisonoffunctionalclassificationsystems |