The Future of the seed industry lies within the data generated through digital breeding technologies.
Insilicogen will harness data breeding to uncover high-value resources in the fields of pharmaceuticals, bioproducts, and energy, extending beyond "seeds," which are the fundamental source of sustenance. We are dedicated to integrating biological information, big data, and AI technology to discover novel seeds in silico, relentlessly seeking the foundational value for the future bio-industry.
We offer optimal services for data breeding. Through specialized consulting in data breeding, we provide tailored services that match the customer's situation and needs.
AI DRIVES DATA BREEDING
Effective Selective Breeding is feasible through data breeding.
Time to acquire economic trait will be reduced.
Optimal characteristics will be maintained through the simulation of crossbreeding.
- Genotyping and SNP chip development
- RIL population variant exploration
- Elite lineage variant exploration and inter-lineage relatedness estimation
- Group analysis - PCA, STRUCTURE, Phylogeny
- MABC marker discovery and construction of phenotype-genotype database
- Genotype-phenotype association marker search (GWAS/FST)
- Calculation of heritability index for each marker
- Establishment of a machine learning phenotype prediction model
- Calculation of breeding value (GBLUP, ssBLUP, rrBLUP)
- Calculation of valid group
- Mating simulation and mating efficiency test
customized database construction
Standardized phenotype and genotype big data design and development
Machine learning modeling for selection of superior individuals based on data breeding
Genotype-based phenotypic prediction using machine learning models
Breeding guidelines for superior trait preservation
De novo decoding and beneficial gene discovery based on bioinformatics
Customized genotype analysis services for breeding optimization
Development of rapid and economical molecular detection kits for economically important traits (quantitative traits, disease resistance, etc.)