parasites

Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.

r parasites open-data rstats r-package disease-networks helminth

Updated Sep 4, 2025
R

csthorn / csthorn.github.io

Star

Chelsea Thorn Research Profile

bioinformatics research parasites genomics biology evolution csthorn chelseathorn chelseasthorn

Updated Mar 18, 2025
HTML

IrisRizos / Unassigned_Protists_SSN

Star

parasites taxonomy clustering plankton biodiversity metabarcoding biogeography ssn temporal-data protists unassigned igraph-networks marine-microbiology v4-18s syndiniales

Updated Mar 7, 2025
Python

SequinGames / brain

Star

Your brain is over run with spiders, monsters, and all kinds of ghouls! Time to eliminate them!

parasites brainfuck spiders brain horror-game brain-games horrific creepy brain-game braingames creepypasta parasite brain-infections braingame game-brain

Updated Jan 25, 2025
C

An R interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infe…

hmm cran parasites malaria mcmc phasing deconvoluting-mixed-genomes unknown-proportions

Updated Jan 21, 2025
R

DEploid-dev / DEploid

Star

dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.

parasites malaria mcmc phasing hmm-model deconvoluting-mixed-genomes unknown-proportions

Updated Jan 20, 2025
C++

sayedgamal99 / Microscopic-Medical-Parasitology-Classification

Star

This repository focuses on classifying microscopic images of parasites using deep learning. It features a dataset of 15 parasitic classes, enhanced by Keras's image preprocessing and transfer learning with ResNet. The project aims to improve diagnostic capabilities in medical parasitology and has achieved great results in competitive evaluation.

docker machine-learning deep-learning parasites image-classification transfer-learning medical-image-processing streamlit resnet101v2

Updated Nov 11, 2024
Jupyter Notebook

duncanberger / PZQ_POPGEN

Star

Code repository for the publication: "Whole-genome sequencing of Schistosoma mansoni reveals extensive diversity with limited selection despite mass drug administration"

bioinformatics parasites genomics ngs popgen pathogens