分子生物資訊實驗室

Our laboratory uses high-throughput data analysis techniques to investigate critical medical issues, including cancer, pulmonary diseases, and pathogenic bacterial infections. Our primary research areas encompass cancer bioinformatics, the development of bioinformatics tools and databases, and microbial genomics. We work closely with clinicians and interdisciplinary researchers, utilizing both existing and novel bioinformatics tools to identify key genetic variants associated with pathogenesis and drug resistance. By elucidating these underlying mechanisms, we aim to facilitate precision medicine strategies and improve the control of nosocomial infections. Furthermore, to address technical gaps encountered during analysis, we actively develop specialized bioinformatics tools and databases to enhance research capabilities. 

Ongoing Projects:

1. Development of Cancer Evolutionary Analysis Tools: Investigating key genetic variants associated with drug resistance and radio-resistance throughout the cancer evolutionary process.

2. Prediction Tools for lncRNA Regulation: Developing tools to predict regulatory targets of long non-coding RNAs (lncRNAs) to explore transcriptomic dysregulation within cancer cells.

3. Construction of Cancer Prognosis Models: Utilizing transcriptomic and genomic data from The Cancer Genome Atlas (TCGA) to build predictive models for cancer prognosis.

4. Development of ChIP-seq Analysis Tools: Creating specialized analysis tools for Chromatin Immunoprecipitation Sequencing (ChIP-seq) data, tailored for non-model organisms.

External Collaborations:

1. Multi-omics Data Integration: Collaborating with the Molecular Medicine Research Center at Chang Gung University to develop tools that integrate genomic, transcriptomic, and proteomic data.

2. Pathogen-Host Interactions: Collaborating with the Department of Nephrology at Chang Gung Memorial Hospital to investigate host transcriptomic alterations following Leptospira infection.

3. Competitive Endogenous RNA (ceRNA) Networks: Collaborating with researchers at Baylor College of Medicine to explore intracellular ceRNA competition using public database resources.

4. Genomics of Multi-Drug Resistant (MDR) Bacteria: Collaborating with the Department of Microbiology and Immunology at Taipei Medical University to analyze genomic variations in clinical MDR isolates via whole-genome sequencing.