Haiyuan Yu, Ph.D.

Yale University, New Haven, CT 
Computational Biology and Bioinformatics
"Haiyuan Yu"


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Mark B. Gerstein grad student 2005 Yale
 (Genomics analysis of large-scale biological networks and their relationships.)


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Brad Gulko grad student 2021-2017 Cornell
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Xiong D, Zhao J, Qiu Y, et al. (2023) 3D structural human interactome reveals proteome-wide perturbations by disease mutations. Biorxiv : the Preprint Server For Biology
Zhou Y, Liu Y, Gupta S, et al. (2022) A comprehensive SARS-CoV-2-human protein-protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets. Nature Biotechnology
Zhou Y, Liu Y, Gupta S, et al. (2022) A comprehensive SARS-CoV-2-human protein-protein interactome network identifies pathobiology and host-targeting therapies for COVID-19. Research Square
Chen S, Liu Y, Zhang Y, et al. (2022) A full-proteome, interaction-specific characterization of mutational hotspots across human cancers. Genome Research. 32: 135-149
Chen S, Wang J, Cicek E, et al. (2020) De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types. Molecular Autism. 11: 76
Li G, Pahari S, Krishna Murthy A, et al. (2020) SAAMBE-SEQ: A Sequence-based Method for Predicting Mutation Effect on Protein-protein Binding Affinity. Bioinformatics (Oxford, England)
Wierbowski SD, Vo TV, Falter-Braun P, et al. (2020) A massively parallel barcoded sequencing pipeline enables generation of the first ORFeome and interactome map for rice. Proceedings of the National Academy of Sciences of the United States of America
Pourhaghighi R, Ash PEA, Phanse S, et al. (2020) BraInMap Elucidates the Macromolecular Connectivity Landscape of Mammalian Brain. Cell Systems. 10: 333-350.e14
Pahari S, Li G, Murthy AK, et al. (2020) SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions. International Journal of Molecular Sciences. 21
Yugandhar K, Wang TY, Leung AK, et al. (2019) MaXLinker: proteome-wide cross-link identifications with high specificity and sensitivity. Molecular & Cellular Proteomics : McP
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