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Buckler Lab

For

Maize Genetics and Diversity

THE BUCKLER LAB

at

MAIZE MEETING 2019

See photos and poster titles from the poster session.

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

LAB NEWS

LATEST PUBLICATIONS

A k-mer grammar analysis to uncover maize regulatory architecture

Katherine Mejia-Guerra uses techniques from Natural Language Processing to annotate regulatory regions in maize lines.

A k-mer grammar analysis to uncover maize regulatory architecture

Using machine learning methods to predict mRNA expression levels

Jacob Washburn and Hai Wang propose, implement, and test two methods to control for and utilize evolutionary relatedness

within a predictive deep learning framework.

Using machine learning methods to predict mRNA expression levels

The genetic architecture

of teosinte

catalyzed and constrained maize domestication

Peter Bradbury and Cinta Romay help analyze domestication-related traits in a maize landrace and a population of its ancestor, teosinte

The genetic architecture

of teosinte

catalyzed and constrained maize domestication

The genetic architecture

of teosinte

catalyzed and constrained maize domestication

Peter Bradbury and Cinta Romay help analyze domestication-related traits in a maize landrace and a population of its ancestor, teosinte

The genetic architecture

of teosinte

catalyzed and constrained maize domestication

BREEDING 4.0

Breaking the curse of dimensionality to identify causal variants

Guillaume Ramstein and Sarah Jensen examine possible applications for targeting causal variants in Breeding 4

BREEDING 4.0

Breaking the curse of dimensionality to identify causal variants

Latest Publications

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The genetic architecture

of teosinte

catalyzed and constrained maize domestication

Using Machine Learning Methods to Predict mRNA Expression Levels

BUSINESS NEWS

The genetic architecture

of teosinte

catalyzed and constrained maize domestication

Using Machine Learning Methods to Predict mRNA Expression Levels

Technology

Breeding 4

Breaking the curse of dimensionality to identify causal variants

OTHER LAB NEWS

Buckler Lab Collaboration Receives “2021 Outstanding Paper” Award

Buckler Lab Collaboration Receives “2021 Outstanding Paper” Award

Buckler Lab team develops the HARE method to improve genomic prediction accuracy in maize

Buckler Lab team develops the HARE method to improve genomic prediction accuracy in maize

PanAnd project featured in "SeedWorld"

PanAnd project featured in "SeedWorld"

BIOINFORMATICS

PUBLICATIONS

RESEARCH

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