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The Planemo toolkit for developing, deploying, and executing scientific data analyses in Galaxy and beyond.
Bray, Simon; Chilton, John; Bernt, Matthias; Soranzo, Nicola; van den Beek, Marius; Batut, Bérénice; Rasche, Helena; Cech, Martin; Cock, Peter J A; Grüning, Björn; Nekrutenko, Anton.
Afiliação
  • Bray S; Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, 79110 Freiburg, Germany.
  • Chilton J; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Bernt M; Department of Computational Biology, Helmholtz Centre for Environmental Research GmbH-UFZ, 04318 Leipzig, Germany.
  • Soranzo N; Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, United Kingdom.
  • van den Beek M; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Batut B; Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, 79110 Freiburg, Germany.
  • Rasche H; Clinical Bioinformatics Group, Department of Pathology, Erasmus Medical Center, 3015 CN, Rotterdam, The Netherlands; Academie voor de Technologie van Gezondheid en Milieu, Avans Hogeschool, 4818 AJ Breda, The Netherlands.
  • Cech M; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Cock PJA; James Hutton Institute, Invergowrie, Dundee DD2 5DA, United Kingdom.
  • Grüning B; Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, 79110 Freiburg, Germany.
  • Nekrutenko A; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA; aun1@psu.edu.
Genome Res ; 33(2): 261-268, 2023 02.
Article em En | MEDLINE | ID: mdl-36828587
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article