The tidyomics ecosystem: Enhancing omic data analyses.
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| Title: | The tidyomics ecosystem: Enhancing omic data analyses. |
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| Authors: | Hutchison WJ; Walter and Eliza Hall Institute of Medical Research, Division of Bioinformatics, Parkville, VIC 3052, Australia.; Department of Medical Biology, University of Melbourne, Parkville, VIC 3052, Australia., Keyes TJ; Stanford University School of Medicine, Department of Biomedical Data Science, USA.; Stanford University School of Medicine, Department of Pediatrics, USA., Crowell HL; University of Zurich, Switzerland.; Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain., Serizay J; Institut Pasteur, CNRS UMR3525, Unité Régulation Spatiale des Génomes, F-75015, 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, Japan., Moses L; California Institute of Technology, USA., Tarlinton B; Queensland Department of Agriculture and Fisheries, Australia., Nahid AA; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh., Kosmac M; Achilles Therapeutics, UK., Clayssen Q; DNA Script, France., Yuan V; Department of Statistics, The University of 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, MG, Brazil., Ryu MH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, USA.; Department of Medicine, Harvard Medical School, USA., Axisa PP; Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France., Paiz P; Stanford University School of Medicine, Department of Biomedical Data Science, USA., Poon CL; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA., Tang M; Immunitas Therapeutics, USA., Gottardo R; University of Lausanne, Switzerland.; Lausanne University Hospital.; SIB Swiss Institute of Bioinformatics, Basel, Switzerland., Morgan M; Roswell Park Comprehensive Cancer Center, USA., Lee S; Genentech, Department of Bioinformatics and Computational Biology, USA., Lawrence M; Genentech, Department of Bioinformatics and Computational Biology, USA., Hicks SC; Department of Biostatistics, Johns Hopkins University, USA.; Department of Biomedical Engineering, Johns Hopkins University, USA.; Malone Center for Engineering in Healthcare, Johns Hopkins University, MD, USA., Nolan GP; Stanford University School of Medicine, Department of Pathology, USA., Davis KL; Stanford University School of Medicine, Department of Pediatrics, USA., Papenfuss AT; Walter and Eliza Hall Institute of Medical Research, Division of Bioinformatics, Parkville, VIC 3052, Australia.; Department of Medical Biology, University of Melbourne, Parkville, VIC 3052, Australia., Love MI; Genetics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.; Biostatistics Department, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA., Mangiola S; Walter and Eliza Hall Institute of Medical Research, Division of Bioinformatics, Parkville, VIC 3052, Australia.; Department of Medical Biology, University of Melbourne, Parkville, VIC 3052, Australia.; The University of Adelaide, South Australian immunoGENomics Cancer Institute, Adelaide, South Australia, Australia. |
| Corporate Authors: | tidyomics Consortium |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2024 May 22. Date of Electronic Publication: 2024 May 22. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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