Wochenende — modular and flexible alignment-based shotgun metagenome analysis

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dc.identifier.uri http://dx.doi.org/10.15488/13593
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/13703
dc.contributor.author Rosenboom, Ilona
dc.contributor.author Scheithauer, Tobias
dc.contributor.author Friedrich, Fabian C.
dc.contributor.author Pörtner, Sophia
dc.contributor.author Hollstein, Lisa
dc.contributor.author Pust, Marie-Madlen
dc.contributor.author Sifakis, Konstantinos
dc.contributor.author Wehrbein, Tom
dc.contributor.author Rosenhahn, Bodo
dc.contributor.author Wiehlmann, Lutz
dc.contributor.author Chhatwal, Patrick
dc.contributor.author Tümmler, Burkhard
dc.contributor.author Davenport, Colin F.
dc.date.accessioned 2023-05-08T05:28:52Z
dc.date.available 2023-05-08T05:28:52Z
dc.date.issued 2022
dc.identifier.citation Rosenboom, I.; Scheithauer, T.; Friedrich, F.C.; Pörtner, S.; Hollstein, L. et al.: Wochenende — modular and flexible alignment-based shotgun metagenome analysis. In: BMC genomics 23 (2022), 748. DOI: https://doi.org/10.1186/s12864-022-08985-9
dc.description.abstract 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. eng
dc.language.iso eng
dc.publisher London : BioMed Central
dc.relation.ispartofseries BMC genomics 23 (2022)
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Absolute quantification eng
dc.subject Genomics eng
dc.subject Long-read metagenomics eng
dc.subject Metagenomic visualization eng
dc.subject Metagenomics eng
dc.subject.ddc 570 | Biowissenschaften, Biologie ger
dc.subject.ddc 610 | Medizin, Gesundheit ger
dc.title Wochenende — modular and flexible alignment-based shotgun metagenome analysis eng
dc.type Article
dc.type Text
dc.relation.essn 1471-2164
dc.relation.doi https://doi.org/10.1186/s12864-022-08985-9
dc.bibliographicCitation.volume 23
dc.bibliographicCitation.firstPage 748
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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