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  MeganServer: facilitating interactive access to metagenomic data on a server

Gautam, A., Zeng, W., & Huson, D. (2023). MeganServer: facilitating interactive access to metagenomic data on a server. Bioinformatics, 39(3): btad105. doi:10.1093/bioinformatics/btad105.

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Gautam, A1, Autor                 
Zeng, W, Autor
Huson, DH1, Autor                 
Affiliations:
1IMPRS From Molecules to Organisms, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3376132              

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 Zusammenfassung: Motivation: Metagenomic projects often involve large numbers of large sequencing datasets (totaling hundreds of gigabytes of data). Thus, computational preprocessing and analysis are usually performed on a server. The results of such analyses are then usually explored interactively. One approach is to use MEGAN, an interactive program that allows analysis and comparison of metagenomic datasets. Previous releases have required that the user first download the computed data from the server, an increasingly time-consuming process. Here we present MeganServer, a stand-alone program that serves MEGAN files to the web, using a RESTful API, facilitating interactive analysis in MEGAN, without requiring prior download of the data. We describe a number of different application scenarios.
Availability: MeganServer is provided as a standalone program tools/megan-server in the MEGAN software suite, available at https://software-ab.cs.uni-tuebingen.de/download/megan6. Source available at: https://github.com/husonlab/megan-ce/tree/master/src/megan/ms.

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 Datum: 2023-022023-03
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1093/bioinformatics/btad105
PMID: 36825821
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Titel: Bioinformatics
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Oxford : Oxford University Press
Seiten: 3 Band / Heft: 39 (3) Artikelnummer: btad105 Start- / Endseite: - Identifikator: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991