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PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases

The increase in sequencing capacity has amplified the number of taxonomically unclassified sequences in most databases. The classification of such sequences demands phylogenetic tree construction and comparison to currently classified sequences, a process that demands the processing of large amounts...

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Autores principales: Costa, Ohana Y. A., de Hollander, Mattias, Kuramae, Eiko E., Bodelier, Paul L. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229802/
https://www.ncbi.nlm.nih.gov/pubmed/35744611
http://dx.doi.org/10.3390/microorganisms10061093
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author Costa, Ohana Y. A.
de Hollander, Mattias
Kuramae, Eiko E.
Bodelier, Paul L. E.
author_facet Costa, Ohana Y. A.
de Hollander, Mattias
Kuramae, Eiko E.
Bodelier, Paul L. E.
author_sort Costa, Ohana Y. A.
collection PubMed
description The increase in sequencing capacity has amplified the number of taxonomically unclassified sequences in most databases. The classification of such sequences demands phylogenetic tree construction and comparison to currently classified sequences, a process that demands the processing of large amounts of data and use of several different software. Here, we present PhyloFunDB, a pipeline for extracting, processing, and inferring phylogenetic trees from specific functional genes. The goal of our work is to decrease processing time and facilitate the grouping of sequences that can be used for improved taxonomic classification of functional gene datasets.
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spelling pubmed-92298022022-06-25 PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases Costa, Ohana Y. A. de Hollander, Mattias Kuramae, Eiko E. Bodelier, Paul L. E. Microorganisms Communication The increase in sequencing capacity has amplified the number of taxonomically unclassified sequences in most databases. The classification of such sequences demands phylogenetic tree construction and comparison to currently classified sequences, a process that demands the processing of large amounts of data and use of several different software. Here, we present PhyloFunDB, a pipeline for extracting, processing, and inferring phylogenetic trees from specific functional genes. The goal of our work is to decrease processing time and facilitate the grouping of sequences that can be used for improved taxonomic classification of functional gene datasets. MDPI 2022-05-25 /pmc/articles/PMC9229802/ /pubmed/35744611 http://dx.doi.org/10.3390/microorganisms10061093 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Costa, Ohana Y. A.
de Hollander, Mattias
Kuramae, Eiko E.
Bodelier, Paul L. E.
PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title_full PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title_fullStr PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title_full_unstemmed PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title_short PhyloFunDB: A Pipeline to Create and Update Functional Gene Taxonomic Databases
title_sort phylofundb: a pipeline to create and update functional gene taxonomic databases
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229802/
https://www.ncbi.nlm.nih.gov/pubmed/35744611
http://dx.doi.org/10.3390/microorganisms10061093
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