Lingling Jin

Adjunct Professor

Thompson Rivers University

Canada

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Lingling Jin is an Adjunct Professor at Thompson Rivers University, Canada. Her research focuses on genomic insights and evolutionary dynamics in plant species, particularly within the Poaceae family, as well as methods to predict phenotypes from genomic markers using advanced learning techniques. Recent publications include studies on genetic diversity in wheatgrass, grain development pathways, and ancestral genome reconstruction.

Articles (13)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (5)

Olukayode Jegede

Assistant Professor

University of California, Davis

UNITED STATES

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Thulani Hewavithana

Teaching Assistant

University of Saskatchewan

CANADA

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Victor Albert

Empire Innovation Professor

University at Buffalo

UNITED STATES

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James Leebens-Mack

Professor

University of Georgia

UNITED STATES

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Yue Hao

Research Assistant Professor

Translational Genomics Research Institute

UNITED STATES

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Lingling Jin

Research Interests

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About

Articles (13)

Genomic insights into wheatgrass: unravelling genetic diversity, population structure, and evolutionary dynamics in Pseudoroegneria species

Understanding grain development in the Poaceae family by comparing conserved and distinctive pathways through omics studies in wheat and maize

From comparative gene content and gene order to ancestral contigs, chromosomes and karyotypes

Predicting phenotypes from novel genomic markers using deep learning

Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns

Integument colour change: Tracking delayed growth of Oppia nitens as a sub-lethal indicator of soil toxicity

Sequencing of <i>Camelina neglecta,</i> a diploid progenitor of the hexaploid oilseed <i>Camelina sativa</i>

Buxus and Tetracentron genomes help resolve eudicot genome history

Ancestral Flowering Plant Chromosomes and Gene Orders Based on Generalized Adjacencies and Chromosomal Gene Co-Occurrences

Validation of Automated Chromosome Recovery in the Reconstruction of Ancestral Gene Order

The monoploid chromosome complement of reconstructed ancestral genomes in a phylogeny

The contributions from the progenitor genomes of the mesopolyploid Brassiceae are evolutionarily distinct but functionally compatible

The Impact of COVID-19 on Students’ Marks: A Bayesian Hierarchical Modeling Approach

Collaborators (5)

Olukayode Jegede

Thulani Hewavithana

Victor Albert

James Leebens-Mack

Yue Hao

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