We're developing databases and web applications to empower the scientific community in their pharmacogenomic analysis of cancer model systems.

Web Apps
Packages
Orchestrate and reproduce pharmacogenomic data processing
Explore multi-layer similarities between chemical compounds
Investigate the pathways triggered by exposure to toxic substances
Visualize and analyze xenographic pharmacogenomic data
Mine pharmacogenomic profiles of cancer cell lines treated with single agent
Explore synergistic drug combinations in cancer cell lines
Clustering of Genomic REgions Analysis Method
Parallelized minimum Redundancy, Maximum Relevance ensemble feature selection
Analysis of large-scale pharmacogenomic datasets
Similarity Identification in Gene Expression
R implementation of Logic Optimization for Binary Input to Continuous Output
Biomarker discovery for Radiation Treatment using in vitro models
XEnograft Visualization and Analysis
Analysis of large-scale toxicogenomic datasets
Parallelized minimum Redundancy, Maximum Relevance ensemble feature selection