This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Saskatchewan directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Quantum bioinformatics: a systematic review of methods, trends, and challenges.
Briefings in bioinformatics · 2026 · senior author
Legume genome structures and histories inferred from Cercis canadensis and Chamaecrista fasciculata genomes.
The Plant journal : for cell and molecular biology · 2026
AI-driven discovery in protein science for immunology and infectious disease research.
Frontiers in bioinformatics · 2026
Latest funding
- $414,042
NSERC CREATE in Computational Agriculture
NSERC · 2023 · Co-investigator
- $825,205
Applying advanced molecular biology, metabolomics and image analysis using machine-learning technology to improve wheat resistance against Fusarium head blight
NSERC · 2021 · Co-investigator
- $184,000
Computational Modelling and Prediction of Plant Genome Evolution
NSERC · 2019 · Principal investigator
18 publications.
Quantum bioinformatics: a systematic review of methods, trends, and challenges.
Khalaj M, Rayan S, Jin L
Legume genome structures and histories inferred from Cercis canadensis and Chamaecrista fasciculata genomes.
Lee HO, Stai JS, Xu Q, Hewavithana T, Soman P, Batra R, Liu A, Jordan BD, Walstead R, Jenkins J, Williams M, Webber J, Grimwood J, Lovell JT, Brůna T, Shu S, Keymanesh K, Eichenberger J, Schmutz J, Goodstein DM, Barry K, Sankoff D, Jin L, Leebens-Mack JH, Cannon SB
AI-driven discovery in protein science for immunology and infectious disease research.
Helmy M, Shafei F, Pellegrina D, Jin L, Alhossary A, Wilson HL, Mansour T, Selvarajoo K
Exploring the First Draft Genome of the Oribatid Mite, Oppia nitens: A Standardized Model Invertebrate in Soil Ecotoxicology.
Adedokun AA, Fajana HO, Jegede OO, Hammond SA, Smith DDN, Kvas S, Hewavithana T, Jin L, Princz J, Siciliano SD
Ten simple rules for optimal and careful use of generative AI in science.
Helmy M, Jin L, Alhossary A, Mansour T, Pellagrina D, Selvarajoo K
Genomic insights into wheatgrass: unravelling genetic diversity, population structure, and evolutionary dynamics in Pseudoroegneria species.
Ji Y, Khan N, Chaudhary R, Perumal S, Wang Z, Hucl P, Biligetu B, Sharpe AG, Jin L
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assemblies.
Todd C, Jin L, McQuillan I
Understanding grain development in the Poaceae family by comparing conserved and distinctive pathways through omics studies in wheat and maize.
Ji Y, Hewavithana T, Sharpe AG, Jin L
From comparative gene content and gene order to ancestral contigs, chromosomes and karyotypes.
Xu Q, Jin L, Zheng C, Zhang X, Leebens-Mack J, Sankoff D
Predicting phenotypes from novel genomic markers using deep learning.
Sehrawat S, Najafian K, Jin L
NSERC CREATE in Computational Agriculture
Principal investigators: Stavness, Ian IK
Keywords: agronomy; bioinformatics; crop breeding; data & image analysis; genomics; machine learning; plant phenotyping; precision agriculture; predictive modeling; software development
Applying advanced molecular biology, metabolomics and image analysis using machine-learning technology to improve wheat resistance against Fusarium head blight
Principal investigators: Kutcher, Hadley HR
Keywords: automated imaging system; deoxynivalenol (don); fusarium damage kernel (fdk); fusarium head blight (fhb); genome wide association study (gwas); metabolome; semi-dwarfing allele; wheat resistance; x-ray fluorescence (xrf); x-ray phase contrast imaging (pci)
Computational Modelling and Prediction of Plant Genome Evolution
Principal investigators: Jin, Lingling
Keywords: bioinformatics; natural computing; computational modelling; formal methods; computational genomics; genome evolution; ancestral karyotype; transposable elements; comparative genomics; the plant brassica genus
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Lingling Jin and Yue Zhang: 3 shared papers
- Lingling Jin and Ian McQuillan: 2 shared papers
- Ian Stavness and Mark Eramian: 2 shared papers
- Lingling Jin and Lingling Jin: 1 shared paper
- Lingling Jin and Jabed Tomal: 1 shared paper
- Lingling Jin and Ian Stavness: 1 shared paper
- Lingling Jin and Steven Rayan: 1 shared paper
- Lingling Jin and Bill Biligetu: 1 shared paper
- Lingling Jin and Longhai Li: 1 shared paper
- Lingling Jin and Mark Eramian: 1 shared paper
- Lingling Jin and Jabed Tomal: 1 shared paper
- Lingling Jin and Farhad Maleki: 1 shared paper
- Ian Stavness and Farhad Maleki: 1 shared paper
- Longhai Li and Ian McQuillan: 1 shared paper
- Mark Eramian and Farhad Maleki: 1 shared paper
- Computer Science
- Mathematics and Statistics
- Physics
- Plant Sciences/College of Agriculture and Bioresources
- Department of Mathematics and Statistics
Co-authors at University of Saskatchewan, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Yue Zhang
Physics
3 shared papers, latest 2022
Ian McQuillan
Computer Science
2 shared papers, latest 2025
Longhai Li
Mathematics and Statistics
1 shared papers, latest 2017
Steven Rayan
Mathematics and Statistics
1 shared papers, latest 2026
Jabed Tomal
Department of Mathematics and Statistics
1 shared papers, latest 2021
Farhad Maleki
Computer Science
1 shared papers, latest 2023
Ian Stavness
Computer Science
1 shared papers, latest 2023
Bill Biligetu
Plant Sciences/College of Agriculture and Bioresources
1 shared papers, latest 2025
Mark Eramian
Computer Science
1 shared papers, latest 2023
Lingling Jin
Computer Science
1 shared papers, latest 2021
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