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SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data
BACKGROUND: Phylogenetic trees are widely used for genetic and evolutionary studies in various organisms. Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs). However, massive SNP data makes it di...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945939/ https://www.ncbi.nlm.nih.gov/pubmed/24571581 http://dx.doi.org/10.1186/1471-2164-15-162 |
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author | Lee, Tae-Ho Guo, Hui Wang, Xiyin Kim, Changsoo Paterson, Andrew H |
author_facet | Lee, Tae-Ho Guo, Hui Wang, Xiyin Kim, Changsoo Paterson, Andrew H |
author_sort | Lee, Tae-Ho |
collection | PubMed |
description | BACKGROUND: Phylogenetic trees are widely used for genetic and evolutionary studies in various organisms. Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs). However, massive SNP data makes it difficult to perform reliable analysis, and there has been no ready-to-use pipeline to generate phylogenetic trees from these data. RESULTS: We developed a new pipeline, SNPhylo, to construct phylogenetic trees based on large SNP datasets. The pipeline may enable users to construct a phylogenetic tree from three representative SNP data file formats. In addition, in order to increase reliability of a tree, the pipeline has steps such as removing low quality data and considering linkage disequilibrium. A maximum likelihood method for the inference of phylogeny is also adopted in generation of a tree in our pipeline. CONCLUSIONS: Using SNPhylo, users can easily produce a reliable phylogenetic tree from a large SNP data file. Thus, this pipeline can help a researcher focus more on interpretation of the results of analysis of voluminous data sets, rather than manipulations necessary to accomplish the analysis. |
format | Online Article Text |
id | pubmed-3945939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39459392014-03-08 SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data Lee, Tae-Ho Guo, Hui Wang, Xiyin Kim, Changsoo Paterson, Andrew H BMC Genomics Software BACKGROUND: Phylogenetic trees are widely used for genetic and evolutionary studies in various organisms. Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs). However, massive SNP data makes it difficult to perform reliable analysis, and there has been no ready-to-use pipeline to generate phylogenetic trees from these data. RESULTS: We developed a new pipeline, SNPhylo, to construct phylogenetic trees based on large SNP datasets. The pipeline may enable users to construct a phylogenetic tree from three representative SNP data file formats. In addition, in order to increase reliability of a tree, the pipeline has steps such as removing low quality data and considering linkage disequilibrium. A maximum likelihood method for the inference of phylogeny is also adopted in generation of a tree in our pipeline. CONCLUSIONS: Using SNPhylo, users can easily produce a reliable phylogenetic tree from a large SNP data file. Thus, this pipeline can help a researcher focus more on interpretation of the results of analysis of voluminous data sets, rather than manipulations necessary to accomplish the analysis. BioMed Central 2014-02-26 /pmc/articles/PMC3945939/ /pubmed/24571581 http://dx.doi.org/10.1186/1471-2164-15-162 Text en Copyright © 2014 Lee et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Lee, Tae-Ho Guo, Hui Wang, Xiyin Kim, Changsoo Paterson, Andrew H SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title | SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title_full | SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title_fullStr | SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title_full_unstemmed | SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title_short | SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data |
title_sort | snphylo: a pipeline to construct a phylogenetic tree from huge snp data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945939/ https://www.ncbi.nlm.nih.gov/pubmed/24571581 http://dx.doi.org/10.1186/1471-2164-15-162 |
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