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BusyBee Web: towards comprehensive and differential composition-based metagenomic binning

Despite recent methodology and reference database improvements for taxonomic profiling tools, metagenomic assembly and genomic binning remain important pillars of metagenomic analysis workflows. In case reference information is lacking, genomic binning is considered to be a state-of-the-art method i...

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Autores principales: Schmartz, Georges P, Hirsch, Pascal, Amand, Jérémy, Dastbaz, Jan, Fehlmann, Tobias, Kern, Fabian, Müller, Rolf, Keller, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252796/
https://www.ncbi.nlm.nih.gov/pubmed/35489067
http://dx.doi.org/10.1093/nar/gkac298
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author Schmartz, Georges P
Hirsch, Pascal
Amand, Jérémy
Dastbaz, Jan
Fehlmann, Tobias
Kern, Fabian
Müller, Rolf
Keller, Andreas
author_facet Schmartz, Georges P
Hirsch, Pascal
Amand, Jérémy
Dastbaz, Jan
Fehlmann, Tobias
Kern, Fabian
Müller, Rolf
Keller, Andreas
author_sort Schmartz, Georges P
collection PubMed
description Despite recent methodology and reference database improvements for taxonomic profiling tools, metagenomic assembly and genomic binning remain important pillars of metagenomic analysis workflows. In case reference information is lacking, genomic binning is considered to be a state-of-the-art method in mixed culture metagenomic data analysis. In this light, our previously published tool BusyBee Web implements a composition-based binning method efficient enough to function as a rapid online utility. Handling assembled contigs and long nanopore generated reads alike, the webserver provides a wide range of supplementary annotations and visualizations. Half a decade after the initial publication, we revisited existing functionality, added comprehensive visualizations, and increased the number of data analysis customization options for further experimentation. The webserver now allows for visualization-supported differential analysis of samples, which is computationally expensive and typically only performed in coverage-based binning methods. Further, users may now optionally check their uploaded samples for plasmid sequences using PLSDB as a reference database. Lastly, a new application programming interface with a supporting python package was implemented, to allow power users fully automated access to the resource and integration into existing workflows. The webserver is freely available under: https://www.ccb.uni-saarland.de/busybee.
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spelling pubmed-92527962022-07-05 BusyBee Web: towards comprehensive and differential composition-based metagenomic binning Schmartz, Georges P Hirsch, Pascal Amand, Jérémy Dastbaz, Jan Fehlmann, Tobias Kern, Fabian Müller, Rolf Keller, Andreas Nucleic Acids Res Web Server Issue Despite recent methodology and reference database improvements for taxonomic profiling tools, metagenomic assembly and genomic binning remain important pillars of metagenomic analysis workflows. In case reference information is lacking, genomic binning is considered to be a state-of-the-art method in mixed culture metagenomic data analysis. In this light, our previously published tool BusyBee Web implements a composition-based binning method efficient enough to function as a rapid online utility. Handling assembled contigs and long nanopore generated reads alike, the webserver provides a wide range of supplementary annotations and visualizations. Half a decade after the initial publication, we revisited existing functionality, added comprehensive visualizations, and increased the number of data analysis customization options for further experimentation. The webserver now allows for visualization-supported differential analysis of samples, which is computationally expensive and typically only performed in coverage-based binning methods. Further, users may now optionally check their uploaded samples for plasmid sequences using PLSDB as a reference database. Lastly, a new application programming interface with a supporting python package was implemented, to allow power users fully automated access to the resource and integration into existing workflows. The webserver is freely available under: https://www.ccb.uni-saarland.de/busybee. Oxford University Press 2022-04-30 /pmc/articles/PMC9252796/ /pubmed/35489067 http://dx.doi.org/10.1093/nar/gkac298 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Schmartz, Georges P
Hirsch, Pascal
Amand, Jérémy
Dastbaz, Jan
Fehlmann, Tobias
Kern, Fabian
Müller, Rolf
Keller, Andreas
BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title_full BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title_fullStr BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title_full_unstemmed BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title_short BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
title_sort busybee web: towards comprehensive and differential composition-based metagenomic binning
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252796/
https://www.ncbi.nlm.nih.gov/pubmed/35489067
http://dx.doi.org/10.1093/nar/gkac298
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