Joseph G. Chappell
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
Timothy Byaruhanga
THEOCHARIS TSOLERIDIS T.Tsoleridis@nottingham.ac.uk
Research Fellow
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 |
| 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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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/