Recombination Landscape Estimation using Recurrent Neural Networks
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Updated
Mar 13, 2024 - Python
Recombination Landscape Estimation using Recurrent Neural Networks
SNPbinner is a utility for the generation of genotype crossover points and binmaps based on SNP data across recombinant inbred lines.
AMR/VF LGT focused bacterial genomics analysis workflow
Reproducible workflow for SARS-CoV-2 recombinant sequence detection.
Parsimonious delimitation of large SNP datasets using the four gamete test
This code computes the nonradiative recombination at defect centers from first-principles
Codes and Datasets used in the manuscript titled "Systematic Analyses of Autosomal Recombination Rates from the 1000 Genomes Project Uncovers the Global Recombination Landscape in Humans."
compare multiple fasta files using nucmer and extract aligned fragments
Calculate recombination frequencies and plan for crosses in Drosophila Genetics
🦠💪 Investigating gBGC in Rhizobium leguminosarum
A tool for linkage disequilibrium-informed comparison of haplotypes among sibling embryos.
UGDR: a pipeline to detect and analyze recombination in yeast.
A simple genetic algorithm that solves the one-max problem
Scripts used to produce ConSpeciFix analysis for arboviruses
RecombinHunt (alias for the software contained in this repository) is a Python library implementing a data-driven novel method for identifying contributing lineages and breakpoints in recombinant viral sequences.
Methods for extracting information from jpHMM (http://jphmm.gobics.de) output.
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