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Reference-free phylogeny from sequencing data

MOTIVATION: Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or tracing a source of a virus outbreak. At the s...

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Autores principales: Ryšavý, Petr, Železný, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045052/
https://www.ncbi.nlm.nih.gov/pubmed/36973746
http://dx.doi.org/10.1186/s13040-023-00329-x
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author Ryšavý, Petr
Železný, Filip
author_facet Ryšavý, Petr
Železný, Filip
author_sort Ryšavý, Petr
collection PubMed
description MOTIVATION: Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or tracing a source of a virus outbreak. At the same time, biologists provide more data in the raw form of reads or only on contig-level assembly. Therefore, tools that are able to process those data without supervision need to be developed. RESULTS: In this paper, we present a tool for reference-free phylogeny capable of handling data where no mature-level assembly is available. The tool allows distance calculation for raw reads, contigs, and the combination of the latter. The tool provides an estimation of the Levenshtein distance between the sequences, which in turn estimates the number of mutations between the organisms. Compared to the previous research, the novelty of the method lies in a newly proposed combination of the read and contig measures, a new method for read-contig mapping, and an efficient embedding of contigs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13040-023-00329-x.
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spelling pubmed-100450522023-03-29 Reference-free phylogeny from sequencing data Ryšavý, Petr Železný, Filip BioData Min Research MOTIVATION: Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or tracing a source of a virus outbreak. At the same time, biologists provide more data in the raw form of reads or only on contig-level assembly. Therefore, tools that are able to process those data without supervision need to be developed. RESULTS: In this paper, we present a tool for reference-free phylogeny capable of handling data where no mature-level assembly is available. The tool allows distance calculation for raw reads, contigs, and the combination of the latter. The tool provides an estimation of the Levenshtein distance between the sequences, which in turn estimates the number of mutations between the organisms. Compared to the previous research, the novelty of the method lies in a newly proposed combination of the read and contig measures, a new method for read-contig mapping, and an efficient embedding of contigs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13040-023-00329-x. BioMed Central 2023-03-27 /pmc/articles/PMC10045052/ /pubmed/36973746 http://dx.doi.org/10.1186/s13040-023-00329-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ryšavý, Petr
Železný, Filip
Reference-free phylogeny from sequencing data
title Reference-free phylogeny from sequencing data
title_full Reference-free phylogeny from sequencing data
title_fullStr Reference-free phylogeny from sequencing data
title_full_unstemmed Reference-free phylogeny from sequencing data
title_short Reference-free phylogeny from sequencing data
title_sort reference-free phylogeny from sequencing data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045052/
https://www.ncbi.nlm.nih.gov/pubmed/36973746
http://dx.doi.org/10.1186/s13040-023-00329-x
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