Experience in large-scale genetics studies involving physicians and scientists from different areas
- Leading/led the analysis in the following studies
- Endometrial cancer project, samples from 96 patients
- Genome-wide Mutation Landscape in POLEP286R Engineered Mice
- Kidney Cancer Pprojects, 697 tumor and normal samples from 219 patients
- PUUMA MI and plasma lipid association study, 10030 samples from China
- HUNT MI and plasma lipid association study, 6000 samples from Norway
- Paticipate in the following studies
- NHLBI Exome sequencing project (ESP), 5500 samples
- GLGC meta-analysis of plasma lipid association study, >300000 samples
Experience in management, analysis and interpretation of large-scale genomics/genetics data
- DNA sequencing (Whole genome sequencing, whole exome sequencing, target sequencing)
- Exome sequencing
- RNA sequencing
- Ribosome profiling (ribo-seq)
- Microarray: Agilent SNP array, Illumina exome chip, etc
- Development of a new method to identify somatic copy number alterations (DEFOR)
- Development of pipeline for next generation sequencing data
- Development of PlantTFDB
Progamming
- Proficient in linux; Linux server management (Ubuntu, ArchLinux and Gentoo)
- Programing using C, Perl, Python and Bash
- Designing and implementing statistical models using R
- Database management using MySQL and SQLite
- Web development using PHP, HTML and JavaScript