Integration of Multi-Omics Data for Marker Selection

Plant Breeding Genetics › AI Marker-Assisted Selection Research

Integration of Multi-Omics Data for Marker Selection

Interns will integrate genomic, transcriptomic, and metabolomic datasets to identify robust molecular markers for breeding applications. They will develop bioinformatic approaches to prioritize markers based on their functional relevance and predictive power for desired agronomic traits.

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