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Crop Genomic Breeding machine (CropGBM) is a multifunctional program that integrates data preprocessing, population structure analysis, SNP selection, phenotype prediction, and data visualization.

Project description

# Welcome to CropGBM!

Crop Genomic Breeding machine (CropGBM) is a multifunctional program that integrates data preprocessing, population structure analysis, SNP selection, phenotype prediction, and data visualization. Has the following advantages:

  • Use LightGBM algorithm to quickly and accurately predict phenotype values and support GPU-accelerated training.

  • Supports selection and visualization of SNPs that are strongly related to phenotype.

  • Support PCA and t-SNE two dimensionality reduction algorithms to extract SNP information.

  • Support Kmeans and OPTICS two clustering algorithms to analyze the sample population structure.

  • Plot histograms of heterozygosity rate, deletion rate, and frequency of alleles for genotype data.

English version documentation: [https://ibreeding.github.io](https://ibreeding.github.io)

Chinese version documentation: [https://ibreeding-ch.github.io](https://ibreeding-ch.github.io)

Download link: [https://github.com/YuetongXU/CropGBM](https://github.com/YuetongXU/CropGBM)

Cite:

Contact us: cropgbm@163.com

Note: Academic users can download directly, industrial users first contact us.

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