Using a GPT3-based classifier to identify malaria papers reporting phenotypes

Global Disease Database – Android app to gather images for disease detection

A collection of Jupyter notebooks and malaria datasets to teach machine learning fundamentals.

This repository provides tool templates for malaria focused health facility surveys.

MOI and Allele Frequency Recovery from Noisy Polyallelic Genetics Data

Population Genomics Analysis for Plasmodium falciparum

In this work, we stratify malaria cases across Malawi to sub-district level, quantify spatio-temporal patterns and examined the effects of climate, environment, and malaria intervention.

A basic GUI Malaria Diagnosis Tool (MDT) to help lab scientists find the probable type of malaria a patient may have based on the country they come form / country they are in.

Haar feature-based cascade classifier to detect infected cells with Malaria

E-course on bioinformatics for the Fighting Malaria Across Borders training programme by the Institute of Tropical Medicine and VLIR-UOS (Belgium)

Analysis code for malaria

Spatial individual-based model of malaria with a focus on drug resistance evolution.

Companion repository for: "Comparative transcriptomics reveal differential gene expression among Plasmodium vivax geographical isolates and implications on erythrocyte invasion mechanisms" by Kepple, et al.

Complete source code and intermediary files to accompany the manuscript.

Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc

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.

Maladrone for Larval Source Management (LSM)

Python package to optimize mosquito traps' positioning in field trials.

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.

A pipeline for variant calling from P. falciparum short reads generated from Illumina and ONT libraries