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Yanni Sun

Associate Professor

Dept. of Electronic Engineering

City University of Hong Kong

yannisun AT cityu DOT edu DOT hk

Research Interests

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Computational biology, Bioinformatics, deep learning-based sequence analysis, BIG genomic data mining, algorithm design and tool development

  • Microbial community analysis using high-throughput sequencing data
    • Composition analysis of metagenomics data sequenced from human body samples
    • Metagenomic data mining for samples from natural environments (e.g. ocean water)
    • Gene-centric functional anlaysis of metagenomic data
  • Virus diversity analysis using deep sequencing data
    • Viral population characterization using shot-gun deep sequencing data
    • Clinically important virus (such as HIV, HCV, SARS-CoV) identification
    • Interaction of bacteria and phages using CRISPR
  • Plant genome annotation
    • Gene prediction in crops such as rice and maize
    • Small nocoding RNA search in plant genomes
  • Algorithm design for mining third-generation sequencing data
    • Error correction of long reads
    • De novo assembly of long reads
  • Noncoding RNA (small RNA, lncRNA etc.) secondary structure identification and search in large-scale genomic databases

Short Bio

Yanni Sun is an Associate Professor in the Department of Electronic Engineering at City University of Hong Kong. Before she moved to Hong Kong, she was an Associate Professor in Computer Science and Engineering Department at Michigan State University, USA. She received the B.S. and M.S. degrees from Xi'an JiaoTong University (China), both in Computer Science. She received the Ph.D. degree in Computer Science from Washington University in Saint Louis, USA in 2008. Her research field is bioinformatics and computational biology. In particular, her recent research projects include sequence analysis, next-generation sequencing data analysis, metagenomics, protein domain annotation, plant genomics, and noncoding RNA annotation. She was a recipient of NSF CAREER Award in 2010.