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MeganServer: facilitating interactive access to metagenomic data on a server.
Gautam, Anupam; Zeng, Wenhuan; Huson, Daniel H.
Afiliação
  • Gautam A; Algorithms in Bioinformatics, Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen 72076, Germany.
  • Zeng W; International Max Planck Research School "From Molecules to Organisms", Max Planck Institute for Biology Tübingen, Tübingen 72076, Germany.
  • Huson DH; Cluster of Excellence: EXC 2124: Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.
Bioinformatics ; 39(3)2023 03 01.
Article em En | MEDLINE | ID: mdl-36825821
ABSTRACT
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 AND IMPLEMENTATION MeganServer is provided as a stand-alone program tools/megan-server in the MEGAN software suite, available at https//software-ab.cs.uni-tuebingen.de/download/megan6. Source is available at https//github.com/husonlab/megan-ce/tree/master/src/megan/ms. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Software Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos / Software Idioma: En Ano de publicação: 2023 Tipo de documento: Article