Upscaling SV detection to a multi-population level.
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Updated
Jul 19, 2020 - Python
Upscaling SV detection to a multi-population level.
Tutorial materials as referenced in IDM's documentation for EMOD, an agent-based disease dynamics model.
Python package to optimize mosquito traps' positioning in field trials.
Using a GPT3-based classifier to identify malaria papers reporting phenotypes
Article Repository for: Ensemble Machine Learning Modeling for the Prediction of Artemisinin Resistance in Malaria
Creates a construct developed by the Niles Lab at MIT, designed to deliver a 3' UTR post-transcriptional regulatory element payload to a specific given gene in Plasmodium falciparum.
A pipeline for variant calling from P. falciparum short reads generated from Illumina and ONT libraries
Blood smears database for malaria diagnosis 🔬
iPfal17 genome-scale metabolic reconstruction; lipid metabolism curation
This repository contains data and code for our analysis of the genome of a Plasmodium falciparum strain with reduced susceptibility to Artemisinin-Based Combination Therapy (ACT) drugs. We performed whole-genome sequencing of the HSOG3 clinical isolate and compared it with a large dataset of global P. falciparum samples.
Subnational tailoring of malaria interventions in Guinea
Malaria Intervention with Reinforcement Learning
Compartmental model projecting cases, resistant cases, and deaths averted in Africa from 2021-2030 with a vaccine similar to RTS,S.
Impact of National Parks on Malaria Transmission
Malaria classification app
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