- We are a Bioinformatics and Computational Genomics research group at Peking University, Beijing. Our research is focused on developing computational methods to decipher the “coded messages” in genome via mining biological “big data”. During past decades, we developed multiple bioinformatics tools to analyze, integrate and visualize omics data, with applications to profile and model the function and evolution of gene regulatory systems in human and various model organisms.
- Corresponding to the interdisciplinary nature of our research, members of our group have very diverse backgrounds. People from Biology, Medicine, Chemistry, as well as Mathematics and Computer Science have been working together closely in the lab, to advance the boundaries of knowledge.
- We are seeking for talented and motivated Students, PostDocs, Technicians as well as Research Scientists. Please do not hesitate to contact us if you are!
Well done, Dr. Kang! Wish you more success and prosperity in days to come!
A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population
Esophageal squamous-cell carcinoma (ESCC) is one of the most lethal malignancies in the world and occurs at particularly higher frequency in China. While several genome-wide association studies (GWAS) of germline variants and whole-genome or whole-exome sequencing studies of somatic mutations for ESCC in Chinese population have been published, there is no comprehensive database publically available. Read more about A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population[…]
Transcription factors bind to cis-regulatory elements (transcription factor binding site, TFBS) to regulate the transcription of the downstream gene (Latchman, 1997). Variants within TFBSs can impact the binding strength of transcription factors and participate in the biogenesis of human diseases, including cancers (Huang et al., 2014; Liu et al., 2017). Although many tools have been Read more about Accurately annotating compound effects resulting from multiple variants at promoter regions[…]
Thanks for De-Chang’s brilliant work, the new site finally is online! The transferring (and translating) is still on-going. Please report bugs/issues/comments to us by emailing .