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Professor at Computational Medicine and Bioinformatics
Ask questions about Kin Fai Au's research, publications, and ongoing work
Developed SpliceMap, a tool for identifying splice junctions from paired-end RNA-seq data, significantly improving the accuracy of transcriptome analysis.
Developed and applied hybrid sequencing methods, combining short-read and long-read sequencing, to characterize the transcriptome of human embryonic stem cells and other biological systems.
Conducted a comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies, providing valuable insights into their strengths and limitations for transcriptome analysis.
Systematically assessed long-read RNA-seq methods, improving transcript identification and quantification, and contributing to a deeper understanding of transcriptome complexity.
Identified the primate-specific noncoding RNA HPAT5 and demonstrated its role in regulating pluripotency during human preimplantation development and nuclear reprogramming.
Created IDP-ASE, a tool for haplotyping and quantifying allele-specific expression at the gene and gene isoform level using hybrid sequencing data.
Developed a method to improve the accuracy of PacBio long reads by aligning them with short reads, enhancing the reliability of long-read sequencing data.
Characterized the RNA m6A landscape in mouse oocytes and preimplantation embryos, providing insights into the role of RNA modifications in early development.
Kin Fai Au is a leading expert in computational medicine and bioinformatics, focusing on the development and application of novel sequencing technologies for transcriptome analysis and understanding disease mechanisms. His work has significantly advanced the fields of long-read sequencing, RNA splicing, and cancer genomics.
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