genomic-prediction
There are 0 repository under genomic-prediction topic.
- Language:R 40
- Language:R 24
paubellot / DL-Biobank
Can deep learning improve genomic prediction of complex human traits? by Pau Bellot, Gustavo de los Campos, Miguel Pérez-Enciso, Genetics
Language:Python 21vangiangtran / BWGS
2024 BreedWheat Genomic Selection pipeline
Language:R 11- Language:Python 8
- Language:Python 5
igorkf / Maize_GxE_Prediction
Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions
Language:Python 5- Language:R 4
- AA-GenomicPrediction
mishaploid / AA-GenomicPrediction
Genomic prediction of amino acid traits in Arabidopsis seeds
Language:HTML 3 jeffersonfparil / poolgen
Quantitative and population genetics analyses of populations, pools, half-sib/full-sib families, and polyploids
Language:Rust 2List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics
ljacquin / KRMM
Solves kernel ridge regression within the the mixed model framework. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available.
Language:R 1wolfemd / NRCRI_2021GS
This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.
Language:R 1yebigithub / GBLUP4Met
Role of genomics on regulating rice grain metabolic variability under warmer nights: A statistical and image-based deep learning approach
Language:R 1CareyMetheringham / MardenPark
Code associated with 'Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic'
Language:R 0- Language:Python 0
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Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
Language:R 0zjwinn / Utilization-of-a-Publicly-Available-Diversity-Panel-in-GP-of-FHB-Resistance-Traits-in-Wheat
This is a public repository for relevant code from the publication of the same name.
0maeslopezortiz / GradientBoostingRegressor
Gradient Boosting Regression (GBR, https://github.com/scikit-learn/scikit-learn) model for genomic predictions
Language:PythonNoam-Hadar / BAMdelbee
BAMdelbee is a novel tool for discovering homozygous deletions in Whole-exome-sequencing (WES) and whole-genome-sequencing (WGS) data. WES or WGS samples generated by the same method produce BAM files with similar alignment coverage across the genome. BAMdelbee locates homozygous deletions by pinpointing regions covered in all samples but the ones in question. We hereby demonstrate how our application can spot homozygous deletions absent from VCF files for being too vast, yet undetectable by chromosomal microarrays (CMA) for being too small. The application is freely available on our website and can run on a common laptop. Therefore, we recommend integrating it into WES and WGS interpretation pipelines for recessive diseases.
Language:Pythonrendy0505 / LD-heterogeneity
Impact of LD regional heterogeneity on genome prediction and heritability estimation in livestock
Language:RTARI 2020 GS: (1) Conversion of DArTseqLD data and imputation of DArT report DCas20-5629 (with GS C1). (2) Cross-validation and genomic prediction
Language:R
