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  MOSGA: Modular open-source genome annotator

Martin, R., Hackl, T., Hattab, G., Fischer, M. G., & Heider, D. (2020). MOSGA: Modular open-source genome annotator. Bioinformatics, 36(22-23), 5514-5515. doi:10.1093/bioinformatics/btaa1003.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-FED4-D Version Permalink: https://hdl.handle.net/21.11116/0000-0009-222F-D
Genre: Journal Article

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Bioinformatics_36_2020_5514.pdf (Any fulltext), 377KB
 
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Bioinformatics_36_2020_5514_Suppl.pdf (Supplementary material), 649KB
 
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 Creators:
Martin, Roman, Author
Hackl, Thomas1, Author           
Hattab, George, Author
Fischer, Matthias G.1, Author           
Heider, Dominik, Author
Affiliations:
1Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society, ou_1497700              

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 Abstract: Motivation: The generation of high-quality assemblies, even for large eukaryotic genomes, has become a routine task for many biologists thanks to recent advances in sequencing technologies. However, the annotation of these assemblies-a crucial step towards unlocking the biology of the organism of interest-has remained a complex challenge that often requires advanced bioinformatics expertise.

Results: Here we present MOSGA, a genome annotation framework for eukaryotic genomes with a user-friendly web-interface that generates and integrates annotations from various tools. The aggregated results can be analyzed with a fully integrated genome browser and are provided in a format ready for submission to NCBI. MOSGA is built on a portable, customizable, and easily extendible Snakemake backend, and thus, can be tailored to a wide range of users and projects.

Availability: We provide MOSGA as a web service at https://mosga.mathematik.uni-marburg.de and as a docker container at registry.gitlab.com/mosga/mosga: latest. Source code can be found at https://gitlab.com/mosga/mosga.

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Language(s): eng - English
 Dates: 2020-10-162020-09-032020-11-182020-12-012020-12-07
 Publication Status: Issued
 Pages: 2
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/bioinformatics/btaa1003
URI: https://pubmed.ncbi.nlm.nih.gov/33258916/
URI: https://academic.oup.com/bioinformatics/article/36/22-23/5514/6015104
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 36 (22-23) Sequence Number: - Start / End Page: 5514 - 5515 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991