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Sustainable data analysis with Snakemake.
Mölder, Felix; Jablonski, Kim Philipp; Letcher, Brice; Hall, Michael B; Tomkins-Tinch, Christopher H; Sochat, Vanessa; Forster, Jan; Lee, Soohyun; Twardziok, Sven O; Kanitz, Alexander; Wilm, Andreas; Holtgrewe, Manuel; Rahmann, Sven; Nahnsen, Sven; Köster, Johannes.
Afiliação
  • Mölder F; Algorithms for reproducible bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Jablonski KP; Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Letcher B; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Hall MB; Swiss Institute of Bioinformatics (SIB), Basel, Switzerland.
  • Tomkins-Tinch CH; EMBL-EBI, Hinxton, UK.
  • Sochat V; EMBL-EBI, Hinxton, UK.
  • Forster J; Broad Institute of MIT and Harvard, Cambridge, USA.
  • Lee S; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, USA.
  • Twardziok SO; Stanford University Research Computing Center, Stanford University, Stanford, USA.
  • Kanitz A; Algorithms for reproducible bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Wilm A; German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany.
  • Holtgrewe M; Biomedical Informatics, Harvard Medical School, Harvard University, Boston, USA.
  • Rahmann S; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Center for Digital Health, Berlin, Germany.
  • Nahnsen S; Biozentrum, University of Basel, Basel, Switzerland.
  • Köster J; SIB Swiss Institute of Bioinformatics / ELIXIR Switzerland, Lausanne, Switzerland.
F1000Res ; 10: 33, 2021.
Article em En | MEDLINE | ID: mdl-34035898
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Dados Tipo de estudo: Prognostic_studies Idioma: En Revista: F1000Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Dados Tipo de estudo: Prognostic_studies Idioma: En Revista: F1000Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha