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From DNA signals to disease insights with eQTLs
Scientists are refining how we connect genetic variants to the genes and mechanisms that influence complex traits and diseases. By integrating genome-wide association studies (GWAS) with expression ...
A new study by Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) researchers investigates how data from a machine learning-enabled high-throughput phenotyping method can (1) aid in ...
A new perspective highlights why plant traits should be built into photosynthetic efficiency models to improve estimates of global vegetation productivity. Instead of relying mainly on climate ...
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