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MOSGA 2: Comparative genomics and validation tools

Due to the highly growing number of available genomic information, the need for accessible and easy-to-use analysis tools is increasing. To facilitate eukaryotic genome annotations, we created MOSGA. In this work, we show how MOSGA 2 is developed by including several advanced analyses for genomic da...

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Autores principales: Martin, Roman, Dreßler, Hagen, Hattab, Georges, Hackl, Thomas, Fischer, Matthias G., Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517542/
https://www.ncbi.nlm.nih.gov/pubmed/34712396
http://dx.doi.org/10.1016/j.csbj.2021.09.024
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author Martin, Roman
Dreßler, Hagen
Hattab, Georges
Hackl, Thomas
Fischer, Matthias G.
Heider, Dominik
author_facet Martin, Roman
Dreßler, Hagen
Hattab, Georges
Hackl, Thomas
Fischer, Matthias G.
Heider, Dominik
author_sort Martin, Roman
collection PubMed
description Due to the highly growing number of available genomic information, the need for accessible and easy-to-use analysis tools is increasing. To facilitate eukaryotic genome annotations, we created MOSGA. In this work, we show how MOSGA 2 is developed by including several advanced analyses for genomic data. Since the genomic data quality greatly impacts the annotation quality, we included multiple tools to validate and ensure high-quality user-submitted genome assemblies. Moreover, thanks to the integration of comparative genomics methods, users can benefit from a broader genomic view by analyzing multiple genomic data sets simultaneously. Further, we demonstrate the new functionalities of MOSGA 2 by different use-cases and practical examples. MOSGA 2 extends the already established application to the quality control of the genomic data and integrates and analyzes multiple genomes in a larger context, e.g., by phylogenetics.
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spelling pubmed-85175422021-10-27 MOSGA 2: Comparative genomics and validation tools Martin, Roman Dreßler, Hagen Hattab, Georges Hackl, Thomas Fischer, Matthias G. Heider, Dominik Comput Struct Biotechnol J Research Article Due to the highly growing number of available genomic information, the need for accessible and easy-to-use analysis tools is increasing. To facilitate eukaryotic genome annotations, we created MOSGA. In this work, we show how MOSGA 2 is developed by including several advanced analyses for genomic data. Since the genomic data quality greatly impacts the annotation quality, we included multiple tools to validate and ensure high-quality user-submitted genome assemblies. Moreover, thanks to the integration of comparative genomics methods, users can benefit from a broader genomic view by analyzing multiple genomic data sets simultaneously. Further, we demonstrate the new functionalities of MOSGA 2 by different use-cases and practical examples. MOSGA 2 extends the already established application to the quality control of the genomic data and integrates and analyzes multiple genomes in a larger context, e.g., by phylogenetics. Research Network of Computational and Structural Biotechnology 2021-09-28 /pmc/articles/PMC8517542/ /pubmed/34712396 http://dx.doi.org/10.1016/j.csbj.2021.09.024 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Martin, Roman
Dreßler, Hagen
Hattab, Georges
Hackl, Thomas
Fischer, Matthias G.
Heider, Dominik
MOSGA 2: Comparative genomics and validation tools
title MOSGA 2: Comparative genomics and validation tools
title_full MOSGA 2: Comparative genomics and validation tools
title_fullStr MOSGA 2: Comparative genomics and validation tools
title_full_unstemmed MOSGA 2: Comparative genomics and validation tools
title_short MOSGA 2: Comparative genomics and validation tools
title_sort mosga 2: comparative genomics and validation tools
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517542/
https://www.ncbi.nlm.nih.gov/pubmed/34712396
http://dx.doi.org/10.1016/j.csbj.2021.09.024
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