Archive

Feb 2025, our paper of miniQuant and K-value for gene isoform quantification has been accepted in principle by Nature Biotechnology! Congratulations!


Feb 2025, our paper of zygotic transposable elements activation during zebrafish early embryogenesis has been accepted in principle by Nature Communications! Congratulations!


April 2023, Yunhao and our collaborators’ single-cell RNA m6A mapping study has been accepted in principle by Nature Biotechnology! Congratulations!


Feb 2023: Yunhao and our collaborators' RNA m6A work was accepted in principle by Nature Structural & Molecular Biology! Congratulations!


Jan 2023: We are thrilled to join the Department of Computational Medicine and Bioinformatics at University of Michigan and start a new journey of more exciting researches!
We are also recruting talented students and postdoctoral scholars to join our team. For more information, please refer to our homepage and feel free to contact us!


Jan 2023: Long-read sequencing has been selected as the Methods of the Year 2022!


July 2022: Kin Fai is appointed as the Vice Chair of Research at the Department of Biomedical Informatics. Congratulations!


May 2022: Dingjie and Haoran's latest manuscript of LRGASP project was accepted in principle by Nature Methods! Congratulations!


Jul. 15th, 2021: The Au Lab receives an NIH R01 grant from NATIONAL HUMAN GENOME RESEARCH INSTITUTE to develop a series of bioinformatics tools to analyze gene isoforms in human stem cells.


Jul. 12th, 2021: Congratulation on Haoran's paper accepted by Bioinformatics!


Jul. 1st, 2021: Kin Fai serves a regular member at the NIH Genomics, Computational Biology and Technology Study Section.


Dec. 16th, 2020: Congratulations to Anqi for his article accepted by Nature Communications!


Dec. 15th, 2020: Congratulations to Yunhao, Audrey, Diana and Yuru for their article accepted by Nature Biotechnology!


Dec. 16th, 2020: Congrats! Kin Fai receives the OSU-BMI Award for Research Excellence!


Publication on Jun 6th, 2020: A network-based computational framework to predict and differentiate functions for gene isoforms using exon-level expression data.


March, 2020: Congrats! Professor Au joined the editorial boards of the premier journals of genomics and bioinformatics.

Publication on Jan 17th, 2020: Performance difference of graph-based and alignment-based hybrid error correction methods for error-prone long reads.


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  • University of Michigan, MI 48109.