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Identification of infectious agents in high-throughput sequencing data sets is easily achievable using free, cloud-based bioinformatics platforms

Chappell, Joseph G.; Byaruhanga, Timothy; Tsoleridis, Theocharis; Ball, Jonathan K.; Patrick McClure, C.

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Authors

Joseph G. Chappell

Timothy Byaruhanga

JONATHAN BALL jonathan.ball@nottingham.ac.uk
Professor of Molecular Virology

C. Patrick McClure



Citation

Chappell, J. G., Byaruhanga, T., Tsoleridis, T., Ball, J. K., & Patrick McClure, C. (2019). Identification of infectious agents in high-throughput sequencing data sets is easily achievable using free, cloud-based bioinformatics platforms. Journal of Clinical Microbiology, 57(12), https://doi.org/10.1128/JCM.01386-19

Journal Article Type Letter
Acceptance Date Sep 4, 2019
Online Publication Date Nov 22, 2019
Publication Date 2019-12
Deposit Date Jan 13, 2020
Publicly Available Date Jan 13, 2020
Journal Journal of Clinical Microbiology
Print ISSN 0095-1137
Electronic ISSN 1098-660X
Publisher American Society for Microbiology
Peer Reviewed Peer Reviewed
Volume 57
Issue 12
Article Number e01386-19
DOI https://doi.org/10.1128/JCM.01386-19
Public URL https://nottingham-repository.worktribe.com/output/3548560
Publisher URL https://jcm.asm.org/content/57/12/e01386-19

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