Wenbin Guo is a bioinformatician with a decade of experience building computational and mathematical models for transcriptomics, gene expression, and regulatory networks, currently based at the James Hutton Institute in Dundee. He has developed six automated transcriptomics pipelines and led creation of RTDBox, which markedly improves reference transcript dataset assembly and enabled comprehensive annotations for Arabidopsis and Barley. Wenbin also built the widely adopted 3D RNA-seq platform—used by over 10,000 researchers—which simplifies differential expression and alternative splicing analyses and has won multiple innovation awards. His work bridges rigorous mathematical biology (MSc) and a PhD in Life Sciences, combining deep algorithmic thinking with practical, user-focused tool development. An unexpected strength is his track record of turning complex bioinformatics methods into accessible, production-ready software that has demonstrable impact across plant, animal, and human disease studies.
9 years of coding experience
Doctor of Philosophy - PhD, Life Sciences, Doctor of Philosophy - PhD, Life Sciences at University of Dundee
Bachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Zhejiang University of Technology
R function to construct Relevance Low order Partial Correlation gene networks
Contributions:33 commits, 27 pushes, 1 branch in 1 month
partialpartial-ordercorrelationrelevancegene
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