AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines.

Autor: Oh S; Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, New York, USA.; Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, New York, USA., Gravel-Pucillo K; Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, New York, USA.; Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, New York, USA., Ramos M; Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, New York, USA.; Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, New York, USA., Schatz MC; Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA.; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA., Davis S; Departments of Biomedical Informatics and Medicine,, University of Colorado Anschutz School of Medicine, Denver, Colorado, USA., Carey V; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA., Morgan M; Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA., Waldron L; Institute for Implementation Science in Population Health, City University of New York School of Public Health, New York, New York, USA.; Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, New York, USA.

Publikováno v: F1000Research [F1000Res] 2024 Oct 21; Vol. 13, pp. 1257. Date of Electronic Publication: 2024 Oct 21 (Print Publication: 2024).