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GeneSpy, a user-friendly and flexible genomic context visualizer.
Garcia, Pierre Simon; Jauffrit, Frédéric; Grangeasse, Christophe; Brochier-Armanet, Céline.
Afiliação
  • Garcia PS; Univ Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
  • Jauffrit F; MMSB Molecular Microbiology and Structural Biochemistry, Institut de Biologie et de Chimie des Protéines 7 passage du Vercors, LYON cedex, France.
  • Grangeasse C; Univ Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France.
  • Brochier-Armanet C; R&D microbiology, Clinical Unit, bioMerieux, Marcy L'Etoile, France.
Bioinformatics ; 35(2): 329-331, 2019 01 15.
Article em En | MEDLINE | ID: mdl-29912383
Summary: The exploration and comparison of genome organization is routinely used in the frame of genomic and phylogenomic analyses. As a consequence, in the past few years, various tools allowing visualizing genomic contexts have been developed. However, their use is often hampered by a lack of flexibility, particularly concerning associated databases input formats and figure customization. Here we present GeneSpy, a graphical user interface that allows the visualization and dynamic exploration of eukaryotic and prokaryotic annotated genomes. GeneSpy relies on user-friendly manageable local databases and allows the easy customization and production of figures in a multitude of formats. Availability and implementation: GeneSpy is freely available at https://lbbe.univ-lyon1.fr/GeneSpy/ for Linux, Mac OS and Windows under CeCILL license (http://www.cecill.info/licences/). It is written in Python 2.7 and depends on Matplotlib, Tkinter and Sqlite libraries. Supplementary information: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Interface Usuário-Computador / Software / Genômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Interface Usuário-Computador / Software / Genômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article