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MOSGA 2: Comparative genomics and validation tools.
Martin, Roman; Dreßler, Hagen; Hattab, Georges; Hackl, Thomas; Fischer, Matthias G; Heider, Dominik.
Afiliação
  • Martin R; Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Straße 6, Marburg 35043, Germany.
  • Dreßler H; Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Straße 6, Marburg 35043, Germany.
  • Hattab G; Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Straße 6, Marburg 35043, Germany.
  • Hackl T; Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69120, Germany.
  • Fischer MG; Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Jahnstraße 29, Heidelberg 69120, Germany.
  • Heider D; Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Straße 6, Marburg 35043, Germany.
Comput Struct Biotechnol J ; 19: 5504-5509, 2021.
Article em En | MEDLINE | ID: mdl-34712396
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article