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Wochenende — modular and flexible alignment-based shotgun metagenome analysis

BACKGROUND: Shotgun metagenome analysis provides a robust and verifiable method for comprehensive microbiome analysis of fungal, viral, archaeal and bacterial taxonomy, particularly with regard to visualization of read mapping location, normalization options, growth dynamics and functional gene repe...

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Autores principales: Rosenboom, Ilona, Scheithauer, Tobias, Friedrich, Fabian C., Pörtner, Sophia, Hollstein, Lisa, Pust, Marie-Madlen, Sifakis, Konstantinos, Wehrbein, Tom, Rosenhahn, Bodo, Wiehlmann, Lutz, Chhatwal, Patrick, Tümmler, Burkhard, Davenport, Colin F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650795/
https://www.ncbi.nlm.nih.gov/pubmed/36368923
http://dx.doi.org/10.1186/s12864-022-08985-9
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author Rosenboom, Ilona
Scheithauer, Tobias
Friedrich, Fabian C.
Pörtner, Sophia
Hollstein, Lisa
Pust, Marie-Madlen
Sifakis, Konstantinos
Wehrbein, Tom
Rosenhahn, Bodo
Wiehlmann, Lutz
Chhatwal, Patrick
Tümmler, Burkhard
Davenport, Colin F.
author_facet Rosenboom, Ilona
Scheithauer, Tobias
Friedrich, Fabian C.
Pörtner, Sophia
Hollstein, Lisa
Pust, Marie-Madlen
Sifakis, Konstantinos
Wehrbein, Tom
Rosenhahn, Bodo
Wiehlmann, Lutz
Chhatwal, Patrick
Tümmler, Burkhard
Davenport, Colin F.
author_sort Rosenboom, Ilona
collection PubMed
description BACKGROUND: Shotgun metagenome analysis provides a robust and verifiable method for comprehensive microbiome analysis of fungal, viral, archaeal and bacterial taxonomy, particularly with regard to visualization of read mapping location, normalization options, growth dynamics and functional gene repertoires. Current read classification tools use non-standard output formats, or do not fully show information on mapping location. As reference datasets are not perfect, portrayal of mapping information is critical for judging results effectively. RESULTS: Our alignment-based pipeline, Wochenende, incorporates flexible quality control, trimming, mapping, various filters and normalization. Results are completely transparent and filters can be adjusted by the user. We observe stringent filtering of mismatches and use of mapping quality sharply reduces the number of false positives. Further modules allow genomic visualization and the calculation of growth rates, as well as integration and subsequent plotting of pipeline results as heatmaps or heat trees. Our novel normalization approach additionally allows calculation of absolute abundance profiles by comparison with reads assigned to the human host genome. CONCLUSION: Wochenende has the ability to find and filter alignments to all kingdoms of life using both short and long reads, and requires only good quality reference genomes. Wochenende automatically combines multiple available modules ranging from quality control and normalization to taxonomic visualization. Wochenende is available at https://github.com/MHH-RCUG/nf_wochenende. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08985-9.
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spelling pubmed-96507952022-11-15 Wochenende — modular and flexible alignment-based shotgun metagenome analysis Rosenboom, Ilona Scheithauer, Tobias Friedrich, Fabian C. Pörtner, Sophia Hollstein, Lisa Pust, Marie-Madlen Sifakis, Konstantinos Wehrbein, Tom Rosenhahn, Bodo Wiehlmann, Lutz Chhatwal, Patrick Tümmler, Burkhard Davenport, Colin F. BMC Genomics Research BACKGROUND: Shotgun metagenome analysis provides a robust and verifiable method for comprehensive microbiome analysis of fungal, viral, archaeal and bacterial taxonomy, particularly with regard to visualization of read mapping location, normalization options, growth dynamics and functional gene repertoires. Current read classification tools use non-standard output formats, or do not fully show information on mapping location. As reference datasets are not perfect, portrayal of mapping information is critical for judging results effectively. RESULTS: Our alignment-based pipeline, Wochenende, incorporates flexible quality control, trimming, mapping, various filters and normalization. Results are completely transparent and filters can be adjusted by the user. We observe stringent filtering of mismatches and use of mapping quality sharply reduces the number of false positives. Further modules allow genomic visualization and the calculation of growth rates, as well as integration and subsequent plotting of pipeline results as heatmaps or heat trees. Our novel normalization approach additionally allows calculation of absolute abundance profiles by comparison with reads assigned to the human host genome. CONCLUSION: Wochenende has the ability to find and filter alignments to all kingdoms of life using both short and long reads, and requires only good quality reference genomes. Wochenende automatically combines multiple available modules ranging from quality control and normalization to taxonomic visualization. Wochenende is available at https://github.com/MHH-RCUG/nf_wochenende. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08985-9. BioMed Central 2022-11-11 /pmc/articles/PMC9650795/ /pubmed/36368923 http://dx.doi.org/10.1186/s12864-022-08985-9 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 Research
Rosenboom, Ilona
Scheithauer, Tobias
Friedrich, Fabian C.
Pörtner, Sophia
Hollstein, Lisa
Pust, Marie-Madlen
Sifakis, Konstantinos
Wehrbein, Tom
Rosenhahn, Bodo
Wiehlmann, Lutz
Chhatwal, Patrick
Tümmler, Burkhard
Davenport, Colin F.
Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title_full Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title_fullStr Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title_full_unstemmed Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title_short Wochenende — modular and flexible alignment-based shotgun metagenome analysis
title_sort wochenende — modular and flexible alignment-based shotgun metagenome analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650795/
https://www.ncbi.nlm.nih.gov/pubmed/36368923
http://dx.doi.org/10.1186/s12864-022-08985-9
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