Buckler LAB

BUCKLER LAB

For

Maize Genetics and Diversity

Latest PUBLICATIONS

Using machine learning methods to predict mRNA expression levels

A sorghum Practical Haplotype Graph facilitates genome-wide imputation and cost-effective genomic prediction

A k-mer grammar analysis to uncover maize regulatory architecture

The relevance of dominance and functional annotations to predict agronomic traits in hybrid maize

BREEDING 4.0

Breaking the curse of dimensionality to identify causal variants

Lab NEWS

Read more about Dr. Katherine Mejia-Guerra's presentation on "Decoding the transcriptional regulatory atlas of the maize leaf."

THE BUCKLER LAB

at

MAIZE MEETING 2019

Meet the Buckler Lab

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PUBLICATIONS

RESEARCH