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Selected work

Featured publications

Recent work spanning regulatory genomics, network biology, and AI-assisted crop breeding.

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Genome Biology 25.1 (2024): 1-24

Luo Zi, et al.

A dynamic regulome of shoot-apical-meristem-related homeobox transcription factors modulates plant architecture in maize

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Molecular Plant 17.2 (2024): 215-218

Zhu Wanchao, et al.

The CropGPT project: Call for a global, coordinated effort in precision design breeding driven by AI using biological big data

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Nature Genetics 55.1 (2023): 144-153

Han Linqian, et al.

A multi-omics integrative network map of maize

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Lin Li, Principal Investigator

Lin Li · 李林

Principal Investigator

People

A collaborative team for complex biological questions

Our group brings together crop genetics, molecular biology, computation, and artificial intelligence.

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Meet the team

Updates

Latest from the lab

2024Publication

Dynamic maize shoot-apical-meristem regulome published in Genome Biology

2024Perspective

CropGPT calls for globally coordinated AI-driven precision breeding

2023Resource

MaizeNetome launches as a multi-omics network resource

Research

Representative findings

We study how genomic variation becomes crop phenotype, then translate those insights into computational methods and breeding resources.

Overview of research directions and achievements