Ph.D., Biochemistry & Molecular Biology
Dec 2023
Chinese Academy of Agricultural Sciences, Beijing, China
Plant Genomics · Computational Biology
Mubashir Abbas, Ph.D.
Postdoctoral Researcher · Multi-Omics & Bioinformatics
I apply genomics and computational approaches to uncover the genetic basis of stress tolerance and key agronomic traits in crop plants.
About
Plant genomics and computational biology researcher with extensive experience in multi-omics integration, genome-wide association studies (GWAS), and bioinformatics pipeline development.
My work focuses on uncovering the genetic mechanisms of abiotic and biotic stress tolerance in plants by combining population genetics, transcriptomics, and transposable-element analysis with reproducible computational workflows.
Research Highlight
bHLH Genes in Cotton
Genetic Diversity & Functional SignificanceA comprehensive analysis of the Basic Helix-Loop-Helix (bHLH) transcription factors in cotton, identifying key candidate genes in fiber development and elucidating their evolutionary divergence and functional roles.
Education
Experience
Postdoctoral Research Fellow
Jan 2024 – Nov 2025
Cotton Research Institute, CAAS, Anyang, China
- Integrated population genetics, transcriptomics, and transposable-element analysis to study gossypol biosynthesis.
- Investigated regulatory roles of microRNAs in gossypol gland formation in cotton seeds.
- Developed computational pipelines for multi-omics data integration.
Graduate Research Assistant
Mar 2019 – Dec 2023
Biotechnology Research Institute, CAAS, Beijing, China
- Conducted GWAS to identify genetic loci associated with root system architecture under stress.
- Collaborated on projects integrating phenomics, genomics, and transcriptomics.
Technical Skills
Programming
Genomics
NGS Analysis
Multi-Omics
Publications
For a complete and up-to-date list of my publications, citations, and research metrics, please visit my Google Scholar profile.
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