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Our research
  • Focusing on data-driven cancer research, combining high-throughput genomic, transcriptomic and proteomic profiling approaches, to comprehensively investigate molecular landscapes of GI cancer and identify prognosis/predictive biomarkers and novel therapeutic targets
  • Functional study of identified candidate genes using patient derived tumor organoids, a new generation of ex vivo models.
  • Pan-cancer study and in-depth data mining.

Tools & Databases we developed
  • PINA: An integrated platform for protein interaction network construction, filtering, analysis, visualization and management
  • CVCDAP: DIY Your Cancer Cohort & Omics-X Analysis

IT infrastrucuter
  • The center is equipped with a high-performance cluster computing system (760 CPU cores and 5.12 TB memory) and a high-speed (56Gb/s) storage network (1.44 PB) for analysis of large cohorts of -omics data.
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Jobs
生物信息 博士后 1名 - 2019年1月发布,招满为止
Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute

Last update:  2nd July, 2019