Data and code repository for a study to understand longitudinal population genomics of Klebsiella pneumoniae in Queen Elizabeth Central Hospital, Blantyre, Malawi
# QECHospitalKlebs
The QECHKlebs R package is a repository for data generated and
reproducible analysis scripts for the manuscripts arising from this
study:
**Longitudinal analysis within one hospital in sub-Saharan Africa over
20 years reveals repeated replacements of dominant clones of Klebsiella
pneumoniae and stresses the importance to include temporal patterns for
vaccine design
considerations**
Eva Heinz 1,2 , Oliver Pearse 2,3 , Allan
Zuza 3 , Sithembile Bilima 3 , Chisomo
Msefula 4 , Patrick Musicha 2,3 , Patriciah
Siyabu 5 , Edith Tewesa 5 , Fabrice E
Graf 2 , Rebecca Lester 3,6 , Samantha
Lissauer 3,7 , Jennifer Cornick 3,7 , Joseph M
Lewis 2,3,7 , Kondwani Kawaza 3,4 , Nicholas R
Thomson 8,9 , Nicholas A Feasey 2,3,10
1. Department of Vector Biology, Liverpool School of Tropical Medicine,
Liverpool, UK
2. Department of Clinical Sciences, Liverpool School of Tropical
Medicine, Liverpool, UK
3. Malawi Liverpool Wellcome Programme, Kamuzu University of Health
Sciences, Blantyre, Malawi
4. Kamuzu University of Health Sciences, Blantyre, Malawi
5. Queen Elizabeth Central Hospital, Blantyre, Malawi
6. Division of Infection & Immunity, University College London, UK
7. Department of Clinical Infection, Microbiology and Immunology,
University of Liverpool, Liverpool, UK
8. Parasites and Microbes Program, Wellcome Sanger Institute, Hinxton,
UK
9. London School of Hygiene and Tropical Medicine, London, UK
10. School of Medicine, St Andrews University, UK
Paper currently available as pre-print
here
## Installation
If you just want the data, then all the data to replicate the analysis
are bundled with the package. To install the package from GitHub:
``` r
install.packages("devtools")
devtools::install_github("
github.com")
```
The various data objects are described in the pkgdown site for this
package here, and available via R in the usual way. They are all
lazy loaded so will be available for use immediately.
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