The COMSATS Wheat Lab focuses on integrating genomics, artificial intelligence, bioinformatics, and precision breeding technologies for the development of climate-resilient and nutritionally improved wheat varieties.
KASP marker development
SNP and haplotype analysis
Genome-specific marker design
Marker validation in breeding populations
QTL mapping
GWAS (Genome-Wide Association Studies)
Genetic diversity analysis
Population structure analysis
Breeding population genotyping
Trait-linked marker screening
Molecular characterization of germplasm
2. AI-Driven Phenomics Services
Wheat spike characterization
Grain size and shape analysis
Ovary and anther quantification
Seed morphology analysis
Automated trait extraction
AI-based phenotyping pipelines
High-throughput image analysis
Custom machine learning model development
Stress detection using imaging
Growth stage analysis
Yield prediction modeling
3. Bioinformatics & Omics Services
DNA/RNA sequence analysis
Comparative genomics
Gene annotation
Variant analysis
RNA-seq data analysis
Differential gene expression
Pathway enrichment analysis
Genomics + transcriptomics integration
Data visualization and interpretation
AI-assisted biological data analysis
4. Genome Editing & Functional Genomics
Guide RNA design
Target gene analysis
Functional candidate gene identification
Candidate gene discovery
Gene network analysis
Trait-associated gene characterization
5. Wheat Quality & Nutritional Genomics
High amylose wheat characterization
Waxy wheat analysis
Grain quality genetics
Starch-related trait genetics
Functional food trait screening
Health-oriented wheat improvement
6. Data Analysis & Statistical Genetics
ANOVA and mixed model analysis
Genomic prediction
Heritability estimation
Trait correlation analysis
R programming support
Bioinformatics workflow development
Custom analysis pipelines
7. Training & Capacity Building
Bioinformatics training
AI in agriculture workshops
Molecular breeding training
Genomics data analysis
Research proposal development
Scientific manuscript writing
Data interpretation and visualization
8. Research Collaboration Services
The lab actively welcomes:
National and international collaborations
Joint research projects
Student exchange programs
Industry partnerships
Functional food and wheat innovation projects
Potential Clients & Collaborators
Universities & Research Institutes
Wheat Breeding Programs
Biotechnology Companies
Seed Companies
Food Industry Partners
Agricultural Technology Startups
The lab actively collaborates with national and international research institutes working in wheat genomics, crop improvement, and molecular breeding.
Prof. Hai Long, CIB, Chinese Academy of Sciences (CAS)
Prof. Jing Chen, CIB, Chinese Academy of Sciences (CAS)
Prof. Dongcheng Liu, Hebei Agricultural University
Dr. Jiajie Wu, Shandong Agriculture University
Dr. Xiaofei Zhang, UC Davis
Dr. Maria Itria IBBA, CIMMYT, Mexico
Dr. Mehraj Abbasov, ADA University, Baku, Azerbaijan
Dr. Sultan H. Khan, University of Agriculture Faisalabad
Dr. Awais Rasheed, QAU
Dr. Muhammad Salman Mubarik (University of Narowal)
Dr. M. R. Khan, NIGAB, NARC
Dr. Zahid Mahmood, CSI, NARC
Dr. Saima Mir, NIA Tandojam
Dr. Rashid M. Rana, PMAS Arid Agriculture University
Dr. Shoaib ur Rehman, MNS-University of Agriculture, Multan
Dr. Kashif Naeem, NIGAB, NARC
CAS BIOS
Agri-Tech Solutions
The COMSATS Wheat Lab is committed to advancing sustainable and climate-resilient wheat research through interdisciplinary approaches integrating genomics, artificial intelligence, and precision agriculture.