Hybridization detection using phylogenetic invariants
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Updated
Oct 29, 2024 - Python
Hybridization detection using phylogenetic invariants
Visualing species tree from ASTRAL with gene tree discordance
DFOIL: Introgression Testing for Five Taxa
Detects Outliers and plots genomic clines from BGC output, and extends the plotting functionality of INTROGRESS to Correlate genomic clines and hybrid indices with Environmental Variables
Hybridization Detection with Convolutional Neural Networks
Visualization of Hybrid Organic compounds with graphs
An expert-guided workflow integrating D-statistic screening and BPP-based Bayesian model testing to reconstruct reticulate evolutionary histories.
Hybrid discretisation methods in Julia (VEM, HDG, HHO, etc) 🚧 🚧 🚧 Work in progress 🚧 🚧🚧
Suitable Finite Element methods for Porous Media flow using Firedrake Project framework
MATLAB suite of high-order CG and DG finite element solvers for time-harmonic wave propagation
A Nextflow-based pangenome pipeline for processing sequencing data from interspecific hybrids
Python script to generate .snp and .ind Eigenstrat files from a PHYLIP infile
Spell Fusion Arena
All scripts and pipelines related to inferring ploidy, hybridization and MAT locus architecture in the lichen symbionts from the genus Letharia
Dating hybrid populations beyond F2, with or without a genetic map: simulation-based estimates of hybrid age, backcrossing and ongoing gene flow from diagnostic markers. R package.
Hybridization Models Maximum Likelihood Estimator
This repository contains all data and scripts used to analyze reproductive isolation barriers for the "Testing the predictions of reinforcement: long-term empirical data from a damselfly mottled hybrid zone" manuscript.
This repository includes R scripts and data for analysing the effect of elevated temperature on larval morphology in Triturus newts. Associated results are published in Milić et al. 2026, J. Therm. Biol. (https://doi.org/10.1016/j.jtherbio.2026.104479)
A Comprehensive Study of Deep Learning Models and Hybridization for Sentiment Analysis on the Twitter Dataset
Tutorial, code, and data for Evolution 2017
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