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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9252796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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