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.

doi:10.1128/JCM.01386-19

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.

Authors

Joseph G. Chappell

Timothy Byaruhanga

Theocharis Tsoleridis

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