eLife Sciences's Projects
Processing and analysys for Cyclic Immunofluorescence (CycIF) microscopy images
Generating model proteins optimised on geometry and accessibility of cysteine residues
Cytosim is a cytoskeleton simulation engine
Data and code for the paper: 'Task-induced functional brain connectivity mediates the relationship between striatal D2/3 receptors and working memory', published in eLife 2019
Pipeline to process DamID material and output Dam-only data files for profiling chromatin accessibility. This script is the pipeline generated by Owen Marshall (https://github.com/owenjm/damidseq_pipeline) with some minor modifications.
This repository hosts the code for "An Image-Based Data-Driven Analysis of Cellular Architecture in a Developing Tissue" (Hartmann et al., 2020).
Scripts for processing unzipping curves and hopping data. (collaboration with Bustamante group)
Code relating to Dataset Decay article
Null Hypothesis Significance Testing by Randomization, Fieller's test and Effect size calculator, based on David Colquhoun's stats tools. GUIs for macOS, Win & Linux soon
DeBias decouples global bias from direct interactions in co-orientation and co-localization data.
Motion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.
CNN python pipeline for classifying freezing behavior + Matlab GUI for hand scoring freezing
a toolkit for pose estimation using deep learning
Example datasets for DeepPoseKit
data analysis scripts for degradation pathway story
Our study on bridging the gap between animal & human studies of delay-discounting
Deterministic Modeling for Analysis of complex Single molecule Kinetics --- MATLAB software for deterministic modeling and fitting with single molecule data
Dengue antigenic variation and evolutionary dynamics
Example code to estimate force of infection from age-stratified incidence data, as described in "Opportunities for improved surveillance and control of infectious diseases from age-specific case data: insight from dengue".
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.
fMRI project looking at the differences between perceptual detection and discrimination