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 |
Files for this record:
File | Description | Size | Format | |
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gkac298.pdf | 1,51 MB | Adobe PDF | View/Open |
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