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SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs
BACKGROUND: Shotgun sequencing of cultured microbial isolates/individual eukaryotes (whole-genome sequencing) and microbial communities (metagenomics) has become commonplace in biology. Very often, sequenced samples encompass organisms spanning multiple domains of life, necessitating increasingly el...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917688/ https://www.ncbi.nlm.nih.gov/pubmed/35279076 http://dx.doi.org/10.1186/s12864-022-08382-2 |
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author | Garber, Arkadiy I. Armbruster, Catherine R. Lee, Stella E. Cooper, Vaughn S. Bomberger, Jennifer M. McAllister, Sean M. |
author_facet | Garber, Arkadiy I. Armbruster, Catherine R. Lee, Stella E. Cooper, Vaughn S. Bomberger, Jennifer M. McAllister, Sean M. |
author_sort | Garber, Arkadiy I. |
collection | PubMed |
description | BACKGROUND: Shotgun sequencing of cultured microbial isolates/individual eukaryotes (whole-genome sequencing) and microbial communities (metagenomics) has become commonplace in biology. Very often, sequenced samples encompass organisms spanning multiple domains of life, necessitating increasingly elaborate software for accurate taxonomic classification of assembled sequences. RESULTS: While many software tools for taxonomic classification exist, SprayNPray offers a quick and user-friendly, semi-automated approach, allowing users to separate contigs by taxonomy (and other metrics) of interest. Easy installation, usage, and intuitive output, which is amenable to visual inspection and/or further computational parsing, will reduce barriers for biologists beginning to analyze genomes and metagenomes. This approach can be used for broad-level overviews, preliminary analyses, or as a supplement to other taxonomic classification or binning software. SprayNPray profiles contigs using multiple metrics, including closest homologs from a user-specified reference database, gene density, read coverage, GC content, tetranucleotide frequency, and codon-usage bias. CONCLUSIONS: The output from this software is designed to allow users to spot-check metagenome-assembled genomes, identify, and remove contigs from putative contaminants in isolate assemblies, identify bacteria in eukaryotic assemblies (and vice-versa), and identify possible horizontal gene transfer events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08382-2. |
format | Online Article Text |
id | pubmed-8917688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89176882022-03-21 SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs Garber, Arkadiy I. Armbruster, Catherine R. Lee, Stella E. Cooper, Vaughn S. Bomberger, Jennifer M. McAllister, Sean M. BMC Genomics Software BACKGROUND: Shotgun sequencing of cultured microbial isolates/individual eukaryotes (whole-genome sequencing) and microbial communities (metagenomics) has become commonplace in biology. Very often, sequenced samples encompass organisms spanning multiple domains of life, necessitating increasingly elaborate software for accurate taxonomic classification of assembled sequences. RESULTS: While many software tools for taxonomic classification exist, SprayNPray offers a quick and user-friendly, semi-automated approach, allowing users to separate contigs by taxonomy (and other metrics) of interest. Easy installation, usage, and intuitive output, which is amenable to visual inspection and/or further computational parsing, will reduce barriers for biologists beginning to analyze genomes and metagenomes. This approach can be used for broad-level overviews, preliminary analyses, or as a supplement to other taxonomic classification or binning software. SprayNPray profiles contigs using multiple metrics, including closest homologs from a user-specified reference database, gene density, read coverage, GC content, tetranucleotide frequency, and codon-usage bias. CONCLUSIONS: The output from this software is designed to allow users to spot-check metagenome-assembled genomes, identify, and remove contigs from putative contaminants in isolate assemblies, identify bacteria in eukaryotic assemblies (and vice-versa), and identify possible horizontal gene transfer events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08382-2. BioMed Central 2022-03-12 /pmc/articles/PMC8917688/ /pubmed/35279076 http://dx.doi.org/10.1186/s12864-022-08382-2 Text en © The Author(s) 2022 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 | Software Garber, Arkadiy I. Armbruster, Catherine R. Lee, Stella E. Cooper, Vaughn S. Bomberger, Jennifer M. McAllister, Sean M. SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title | SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title_full | SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title_fullStr | SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title_full_unstemmed | SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title_short | SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs |
title_sort | spraynpray: user-friendly taxonomic profiling of genome and metagenome contigs |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917688/ https://www.ncbi.nlm.nih.gov/pubmed/35279076 http://dx.doi.org/10.1186/s12864-022-08382-2 |
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