Dr. Leng Han
The University of Texas Health Science Center at Houston
McGovern Medical School
Department of Biochemistry and Molecular Biology
Our research has included a diverse range of topics in bioinformatics and genomics. I use an integrative approach, combining comparative, computational, and functional genomic methods. Recent advances in genomic technologies and the ensuing deluge of genomic information related to cancer have accelerated the convergence of discovery science with clinical medicine. Successful translations of cancer genomics into therapeutics and diagnostics reinforce its potential for personalizing cancer medicine. As one of the most important cancer genomic data resources, The Cancer Genome Atlas (TCGA) is a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies. Besides, Large-scale exome sequencing data repositories, such as those of TCGA, the International Cancer Genome Consortium (ICGC), the 1000 Genomes Project, and the National Heart, Lung, and Blood Institute (NHLBI) Exome Sequencing Project, provide researchers with excellent secondary data-mining opportunities to study genomic data. Our research will focus on computational analysis from genomic sequences to other post-genomic data, including both DNA and RNA sequences, protein profiling, and epigenetic profiling, in an ongoing effort to find hidden treasures. We will have multiple projects, including: 1) Methodology driven projects, which will strengthen the students’ bioinformatics/experimental skills; 2) Biological driven projects, which will strengthen the students’ insight and understanding for biology and medicine; 3) Collaborative projects, which will strengthen students’ communication skills.