Reusable tutorials for using cloud-based computing environments for the analysis of bacterial gene expression data from bulk RNA sequencing.

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Bibliographic Details
Title: Reusable tutorials for using cloud-based computing environments for the analysis of bacterial gene expression data from bulk RNA sequencing.
Authors: Allers S; Department of Molecular and Biomedical Sciences, University of Maine, 5735 Hitchner Hall, Orono, ME 04469, United States., O'Connell KA; Center for Information Technology, National Institutes of Health, 6555 Rock Spring Dr, Bethesda, MD 20817, United States.; Health Data and AI, Deloitte Consulting LLP, 1919 N. Lynn St, Arlington, VA 22203, United States., Carlson T; Center for Information Technology, National Institutes of Health, 6555 Rock Spring Dr, Bethesda, MD 20817, United States.; Health Data and AI, Deloitte Consulting LLP, 1919 N. Lynn St, Arlington, VA 22203, United States., Belardo D; Google Cloud, Google, 1900 Reston Metro Plaza, Reston, VA 20190, United States., King BL; Department of Molecular and Biomedical Sciences, University of Maine, 5735 Hitchner Hall, Orono, ME 04469, United States.; Maine Institutional Development Award Network of Biomedical Research Excellence (INBRE) Data Science Core, MDI Biological Laboratory, 159 Old Bar Harbor Rd, Bar Harbor, ME 04609, United States.; Graduate School of Biomedical Science and Engineering, University of Maine, 5775 Stodder Hall, Orono, ME 04469, United States.
Source: Briefings in bioinformatics [Brief Bioinform] 2024 May 23; Vol. 25 (4).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1477-4054
DOI:10.1093/bib/bbae301