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The tidyomics ecosystem: enhancing omic data analyses.

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Title: The tidyomics ecosystem: enhancing omic data analyses.
Authors: Hutchison WJ; The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia., Keyes TJ; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Crowell HL; University of Zurich, Zurich, Switzerland.; Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain., Serizay J; Unité Régulation Spatiale des Génomes, Institut Pasteur, CNRS UMR3525, Paris, France., Soneson C; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.; SIB Swiss Institute of Bioinformatics, Basel, Switzerland., Davis ES; Bioinformatics and Computational Biology Program, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA., Sato N; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan., Moses L; California Institute of Technology, Pasadena, CA, USA., Tarlinton B; Queensland Department of Agriculture and Fisheries, Brisbane, Queensland, Australia., Nahid AA; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh., Kosmac M; Achilles Therapeutics, London, UK., Clayssen Q; DNA Script, Le Kremlin-Bicêtre, France., Yuan V; Department of Statistics, The University of British Columbia, Vancouver, British Columbia, Canada., Mu W; Biostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA., Park JE; Biostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA., Mamede I; Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Ryu MH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA., Axisa PP; Centre de Recherches en Cancérologie de Toulouse, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Toulouse, France., Paiz P; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Poon CL; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA., Tang M; Immunitas Therapeutics, Waltham, MA, USA., Gottardo R; SIB Swiss Institute of Bioinformatics, Basel, Switzerland.; University of Lausanne, Lausanne, Switzerland.; Lausanne University Hospital, Lausanne, Switzerland., Morgan M; Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA., Lee S; Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA., Lawrence M; Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA., Hicks SC; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.; Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, USA., Nolan GP; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Davis KL; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Papenfuss AT; The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. papenfuss@wehi.edu.au.; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia. papenfuss@wehi.edu.au., Love MI; Biostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA. michaelisaiahlove@gmail.com.; Genetics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA. michaelisaiahlove@gmail.com., Mangiola S; The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. stefano.mangiola@adelaide.edu.au.; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia. stefano.mangiola@adelaide.edu.au.; South Australian immunoGENomics Cancer Institute, The University of Adelaide, Adelaide, South Australia, Australia. stefano.mangiola@adelaide.edu.au.
Corporate Authors: tidyomics Consortium
Source: Nature methods [Nat Methods] 2024 Jul; Vol. 21 (7), pp. 1166-1170. Date of Electronic Publication: 2024 Jun 14.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE
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