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Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly
BACKGROUND: Advances in next-generation sequencing technologies have reduced the cost of whole transcriptome analyses, allowing characterization of non-model species at unprecedented levels. The rapid pace of transcriptomic sequencing has driven the public accumulation of a wealth of data for phylog...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106827/ https://www.ncbi.nlm.nih.gov/pubmed/32228442 http://dx.doi.org/10.1186/s12862-020-01603-w |
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author | Wcisel, Dustin J. Howard, J. Thomas Yoder, Jeffrey A. Dornburg, Alex |
author_facet | Wcisel, Dustin J. Howard, J. Thomas Yoder, Jeffrey A. Dornburg, Alex |
author_sort | Wcisel, Dustin J. |
collection | PubMed |
description | BACKGROUND: Advances in next-generation sequencing technologies have reduced the cost of whole transcriptome analyses, allowing characterization of non-model species at unprecedented levels. The rapid pace of transcriptomic sequencing has driven the public accumulation of a wealth of data for phylogenomic analyses, however lack of tools aimed towards phylogeneticists to efficiently identify orthologous sequences currently hinders effective harnessing of this resource. RESULTS: We introduce TOAST, an open source R software package that can utilize the ortholog searches based on the software Benchmarking Universal Single-Copy Orthologs (BUSCO) to assemble multiple sequence alignments of orthologous loci from transcriptomes for any group of organisms. By streamlining search, query, and alignment, TOAST automates the generation of locus and concatenated alignments, and also presents a series of outputs from which users can not only explore missing data patterns across their alignments, but also reassemble alignments based on user-defined acceptable missing data levels for a given research question. CONCLUSIONS: TOAST provides a comprehensive set of tools for assembly of sequence alignments of orthologs for comparative transcriptomic and phylogenomic studies. This software empowers easy assembly of public and novel sequences for any target database of candidate orthologs, and fills a critically needed niche for tools that enable quantification and testing of the impact of missing data. As open-source software, TOAST is fully customizable for integration into existing or novel custom informatic pipelines for phylogenomic inference. Software, a detailed manual, and example data files are available through github carolinafishes.github.io |
format | Online Article Text |
id | pubmed-7106827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71068272020-04-01 Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly Wcisel, Dustin J. Howard, J. Thomas Yoder, Jeffrey A. Dornburg, Alex BMC Evol Biol Software BACKGROUND: Advances in next-generation sequencing technologies have reduced the cost of whole transcriptome analyses, allowing characterization of non-model species at unprecedented levels. The rapid pace of transcriptomic sequencing has driven the public accumulation of a wealth of data for phylogenomic analyses, however lack of tools aimed towards phylogeneticists to efficiently identify orthologous sequences currently hinders effective harnessing of this resource. RESULTS: We introduce TOAST, an open source R software package that can utilize the ortholog searches based on the software Benchmarking Universal Single-Copy Orthologs (BUSCO) to assemble multiple sequence alignments of orthologous loci from transcriptomes for any group of organisms. By streamlining search, query, and alignment, TOAST automates the generation of locus and concatenated alignments, and also presents a series of outputs from which users can not only explore missing data patterns across their alignments, but also reassemble alignments based on user-defined acceptable missing data levels for a given research question. CONCLUSIONS: TOAST provides a comprehensive set of tools for assembly of sequence alignments of orthologs for comparative transcriptomic and phylogenomic studies. This software empowers easy assembly of public and novel sequences for any target database of candidate orthologs, and fills a critically needed niche for tools that enable quantification and testing of the impact of missing data. As open-source software, TOAST is fully customizable for integration into existing or novel custom informatic pipelines for phylogenomic inference. Software, a detailed manual, and example data files are available through github carolinafishes.github.io BioMed Central 2020-03-30 /pmc/articles/PMC7106827/ /pubmed/32228442 http://dx.doi.org/10.1186/s12862-020-01603-w Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Software Wcisel, Dustin J. Howard, J. Thomas Yoder, Jeffrey A. Dornburg, Alex Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title | Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title_full | Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title_fullStr | Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title_full_unstemmed | Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title_short | Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly |
title_sort | transcriptome ortholog alignment sequence tools (toast) for phylogenomic dataset assembly |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106827/ https://www.ncbi.nlm.nih.gov/pubmed/32228442 http://dx.doi.org/10.1186/s12862-020-01603-w |
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