MeganServer: facilitating interactive access to metagenomic data on a server

Autor: Anupam Gautam, Wenhuan Zeng, Daniel H Huson
Rok vydání: 2023
Předmět:
Zdroj: Bioinformatics. 39
ISSN: 1367-4811
DOI: 10.1093/bioinformatics/btad105
Popis: MotivationMetagenomic 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 implementationMeganServer 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 informationSupplementary data are available at Bioinformatics online.
Databáze: OpenAIRE