kr-colab/diploSHIC

Stars
47
Rank 601,100 (Top 12 %)
Language
Python
License
MIT License
Created over 6 years ago
Updated 10 months ago

kr-colab/diploSHIC

kr-colab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

feature-based deep learning for the identification of selective sweeps

ReLERNN

Recombination Landscape Estimation using Recurrent Neural Networks

locator

deep learning prediction of geographic location from individual genome sequences

discoal

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

popvae

genotype dimensionality reduction with a VAE

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

disperseNN

Estimating dispersal using deep neural networks

spaceness

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

stairwayPlotMisorient

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

disperseNN2

estimating dispersal distance from georeferenced polymorphisms

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