Holt, KE, Hawkey, J and Paranagama, K. 2021. katholt/sonneityping: v20210201. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.4609812
Holt, KE, Hawkey, J and Paranagama, K. katholt/sonneityping: v20210201 [Internet]. Zenodo; 2021. Available from: https://doi.org/10.5281/zenodo.4609812
Holt, KE, Hawkey, J and Paranagama, K (2021). katholt/sonneityping: v20210201. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4609812
Description
A Python script to parse Mykrobe predict results for Shigella sonnei. Mykrobe v0.9.0+ can identify input genomes as S. sonnei, assign those identified as S. sonnei to hierarchical genotypes based on detection of single nucleotide variants (SNVs; defined in the file alleles.txt), and report known mutations in the quinolone-resistance determining region (QRDR) of genes gyrA (S83L, D87G, D87Y) and parC (S80I).
Keywords
| Data capture method | Other |
|---|---|
| Date (Published in a 3rd party system) | 17 March 2021 |
| Language(s) of written materials | English |
| Data Creators | Holt, KE, Hawkey, J and Paranagama, K |
|---|---|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection (-2019) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 07 Aug 2021 10:39 |
|---|---|
| Last Modified | 07 Aug 2021 10:39 |
| Publisher | Zenodo |
