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Our research has appeared in high-impact journals including Briefings in Bioinformatics, Plant Physiology, Proteomics, AoB Plants, and many more
We bring together biology, computer science, engineering, and other related disciplines to train the next generation of data scientists
Our research has appeared in high-impact journals including Briefings in Bioinformatics, Plant Physiology, Proteomics, AoB Plants, and many more
The Utah State University Bioinformatics Lab is led by Dr. Rakesh Kaundal.
The group's research interests span a range of topics in applying statistical pattern recognition Artificial Intelligence (AI), and machine learning technologies in the area of systems biology, metagenomics, regulatory mechanisms of gene expression, genome-wide host-pathogen interaction networks, and genome annotation for functional studies.
Our lab is actively developing novel computational tools and algorithms for pathogen detection and discrimination, identification of species-specific signatures, and using AI to predict biochemical pathways and structure/function analyses. Another key strength of our research program lies in collaborative associations - making sense of the petabytes of complex OMICS bigdata from NGS experiments. For example,