kr-colab/ReLERNN
Recombination Landscape Estimation using Recurrent Neural Networks
This tool helps evolutionary biologists and population geneticists understand how genetic recombination rates vary across a genome. By taking VCF files of sequenced chromosomes or allele frequencies, it outputs predicted recombination rates and their uncertainties. It is designed for researchers analyzing genetic variation in populations to map the 'recombination landscape' of a species.
Use this if you need to infer genome-wide recombination rates from genetic sequencing data, even with limited samples.
Not ideal if you do not have access to a CUDA-enabled NVIDIA GPU or if your data contains many small chromosome fragments (less than 250 SNPs) that are not suitable for analysis.
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Language
Python
License
MIT
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Last pushed
Mar 27, 2026
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