jodyphelan/malaria-db
Phelan, J
and Manko, E
(2023).
jodyphelan/malaria-db.
[Dataset].
GitHub.
https://github.com/jodyphelan/malaria-db
and Manko, E
(2023).
jodyphelan/malaria-db.
[Dataset].
GitHub.
https://github.com/jodyphelan/malaria-db
The barcoding mutations for speciation, geography and resistance for: "Rapid profiling of Plasmodium parasites from genome sequences to assist malaria control". This database contains the files necessary to run malaria-profiler. This includes for each species: Reference files including fasta and gff files; A list of candidate genes; A list of resistance mutations (optional) and; A barcode that can be used to predict geographic origin (optional).
Keywords
Drug resistance; Malaria; Plasmodium parasites; Genomics; Diagnostics; Whole genome sequencing| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 20 February 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Phelan, J and Manko, E
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI Artificial Intelligence for Biomedical and Health Research grant MR/X005895/1 http://dx.doi.org/10.13039/501100000265 Artificial Intelligence innovation to accelerate health research EP/Y018842/1 http://dx.doi.org/10.13039/501100000266 UNSPECIFIED 2019/12068–5 http://dx.doi.org/10.13039/501100001807 UNSPECIFIED 2022/02771–3 http://dx.doi.org/10.13039/501100001807 |
| Date Deposited | 01 Dec 2023 10:00 |
| Last Modified | 01 Dec 2023 10:00 |
| Publisher | GitHub |
No files available. Please consult associated links.
