Indexing & Abstracting

Mr. Kan Liu
Affiliation :
UNIVERSITY OF NEBRASKA-LINCOLN, NEBRASKA,United States
Biography :
· My research mainly focuses on computational systems biology and bioinformatics. My interest covers broad area including de novo genome assembly using next-generation sequencing technologies, RNA-Seq and gene expression analysis including alternative splicing detection, high-throughput biological data analyses in plant and mammalian cells. My research also covers data mining of large scale -omics data integration and data analysis.
· I am the main collaborators of a wide range of projects utilizing high throughput technologies, such as next generation and third generation sequencing data and transcriptome analysis, relying on a robust and effective data analysis pipeline to process voluminous data. I also developed novel computational and statistical methods for analysis of massive genome and transcriptome data to systematically investigate the gene expression alteration and dynamics of RNA regulatory networks. Implemented in-house bioinformatic tools, including next generation sequencing alternative splicing detection, etc.
· The long-term goal of my research is to elucidate how genomic and environmental variation of RNA regulatory networks impacts phenotypic traits and diseases using data mining. I will combine genomic, bioinformatic, molecular, and network approaches to study evolutionary genomics, mRNA processing and post-transcriptional gene regulation in plant and mammalian cells.
· Developed novel methods on alternative splicing events detection using next generation sequencing data.
· De novo genome assembly of tapeworm and date palm using high throughput sequencing technologies.
Genome wide association analysis of human eosinophilic esophagitis disease
Research Interest :
Bioinformatics and data science