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FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling

While analysis of the bacterial microbiome has become routine, that of the fungal microbiome is still hampered by the lack of robust databases and bioinformatic pipelines. Here, we present FunOMIC, a pipeline with built-in taxonomic (1.6 million marker genes) and functional (3.4 million non-redundan...

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Detalles Bibliográficos
Autores principales: Xie, Zixuan, Manichanh, Chaysavanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293737/
https://www.ncbi.nlm.nih.gov/pubmed/35891785
http://dx.doi.org/10.1016/j.csbj.2022.07.010
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author Xie, Zixuan
Manichanh, Chaysavanh
author_facet Xie, Zixuan
Manichanh, Chaysavanh
author_sort Xie, Zixuan
collection PubMed
description While analysis of the bacterial microbiome has become routine, that of the fungal microbiome is still hampered by the lack of robust databases and bioinformatic pipelines. Here, we present FunOMIC, a pipeline with built-in taxonomic (1.6 million marker genes) and functional (3.4 million non-redundant fungal proteins) databases for the identification of fungi. Applied to more than 2,600 human metagenomic samples, the tool revealed fungal species associated with geography, body sites, and diseases. Correlation network analysis provided new insights into inter-kingdom interactions. With this pipeline and two of the most comprehensive fungal databases, we foresee a fast-growing resource for mycobiome studies.
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spelling pubmed-92937372022-07-25 FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling Xie, Zixuan Manichanh, Chaysavanh Comput Struct Biotechnol J Research Article While analysis of the bacterial microbiome has become routine, that of the fungal microbiome is still hampered by the lack of robust databases and bioinformatic pipelines. Here, we present FunOMIC, a pipeline with built-in taxonomic (1.6 million marker genes) and functional (3.4 million non-redundant fungal proteins) databases for the identification of fungi. Applied to more than 2,600 human metagenomic samples, the tool revealed fungal species associated with geography, body sites, and diseases. Correlation network analysis provided new insights into inter-kingdom interactions. With this pipeline and two of the most comprehensive fungal databases, we foresee a fast-growing resource for mycobiome studies. Research Network of Computational and Structural Biotechnology 2022-07-11 /pmc/articles/PMC9293737/ /pubmed/35891785 http://dx.doi.org/10.1016/j.csbj.2022.07.010 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Xie, Zixuan
Manichanh, Chaysavanh
FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title_full FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title_fullStr FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title_full_unstemmed FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title_short FunOMIC: Pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
title_sort funomic: pipeline with built-in fungal taxonomic and functional databases for human mycobiome profiling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293737/
https://www.ncbi.nlm.nih.gov/pubmed/35891785
http://dx.doi.org/10.1016/j.csbj.2022.07.010
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