Discover kr-colab/discoal Open Source project

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discoal is a coalescent simulation program capable of simulating models with recombination, selective sweeps, and demographic changes including population splits, admixture events, and ancient samples

diploSHIC

feature-based deep learning for the identification of selective sweeps

Python

ReLERNN

Recombination Landscape Estimation using Recurrent Neural Networks

Python

locator

deep learning prediction of geographic location from individual genome sequences

Python

popvae

genotype dimensionality reduction with a VAE

Python

FILET

Software for detecting introgression using supervised machine learning

shIC

The Soft/Hard Inference through Classification tool for detecting hard and soft selective sweeps

mapNN

neural network for estimating demographic maps from SNPs

Python

disperseNN

Estimating dispersal using deep neural networks

Python

spaceness

Space is the Place: Effects of Continuous Spatial Structure on Analysis of Population Genetic Data

HTML

stairwayPlotMisorient

Liu and Fu's StairwayPlot program modified to estimate a mispolarization parameter

Java

disperseNN2

estimating dispersal distance from georeferenced polymorphisms

Python

colab_wiki

spatial_sims_standard

standardizing spatial simulation slim scripts with a template

Jupyter Notebook

product-space-FEM

Jupyter Notebook

im_clam

package for exact calculation of the joint site frequency spectrum under Isolation with Migration models as described in Kern and Hey (2017) http://www.genetics.org/content/207/1/241

greatapes_sims

Jupyter Notebook

kr-colab/discoal

kr-colab

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