Please use this identifier to cite or link to this item: doi:10.22028/D291-37077
Title: BusyBee Web: towards comprehensive and differential composition-based metagenomic binning
Author(s): Schmartz, Georges P.
Hirsch, Pascal
Amand, Jérémy
Dastbaz, Jan
Fehlmann, Tobias
Kern, Fabian
Müller, Rolf
Keller, Andreas
Language: English
Title: Nucleic Acids Research
Volume: 50
Issue: W1
Pages: W132-W137
Publisher/Platform: Oxford University Press
Year of Publication: 2022
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: 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 visualizationsupported 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.
DOI of the first publication: 10.1093/nar/gkac298
URL of the first publication: https://academic.oup.com/nar/article/50/W1/W132/6576355
Link to this record: urn:nbn:de:bsz:291--ds-370772
hdl:20.500.11880/33657
http://dx.doi.org/10.22028/D291-37077
ISSN: 1362-4962
0305-1048
Date of registration: 25-Aug-2022
Description of the related object: Supplementary data
Related object: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/nar/50/W1/10.1093_nar_gkac298/1/gkac298_supplemental_file.pdf?Expires=1664442232&Signature=1Dab3Ozbwxt3NNwU~0YwOszWLKT3vAklOmwO5N~eJy7qm3wLHRdCCcbaGI1Db9upNE7I3wsYVQR9tZ9Kyj2iJcHDX2AXrsrPAH9GL9l538ZkueCgQWIjLIMhkSW-FAaQtkUWTn~Mjs8R-5-KgwfE62x4luDFPl9ekMdZwiHyWIVZ6DspOYX7HauKFMy9ctXxq2FdvcxCLooUKXgpBzWrUHBYWRZdoR~wbOQfyHkY6HHixLx9sAouaqC71JjPQTUgBfMxVklQMskkxxx7OWG1FlnJ-tK6yoNRX-Wg1pqaBqedeTOI4jMNxInxNEC-pOPyzPwkWMHVjosw4lO1uPbP7A__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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