Our laboratory develops computational methods and tools to facilitate new biological discoveries. We apply a variety of computational techniques, including data mining, visualization, information and knowledge management, machine learning and statistics to contribute to significant biomedical problems. The current focus of the lab is:
- Language Workbench and Composable Languages in Bioinformatics. See our NYoSh article at PeerJ.
- Goby: a next-gen data management framework that facilitates the implementation of efficient and scalable analysis pipelines.
- GobyWeb: an intuitive web-based application to streamline consistent analyses of hundreds of next-gen samples
- Study of DNA methylation in DLBCL patients, to develop predictive models of survival and identify new drug targets (in collaboration with Drs. Rita Shaknovich and Ari Melnick, Dept of Medicine, Hematology and Oncology). See our article in Blood.
- Analysis of samples from kidney transplant recipient and donors to develop non invasive diagnostic tests of acute rejection and other significant clinical endpoints (in collaboration with Drs. Manikkam Suthanthiran and Muthukumar Thangamani, Dept of Medicine, Nephrology).
- Study of the function of the CALHM1 gene in relation to Late onset Alzheimer’s Disease (in collaboration with Philippe Marambaud at the Feinstein Institute).
Past projects include:
- Reliable protocols for biomarker discovery and biomarker candidate model selection (in collaboration with the MAQC-II consortium).
- Knowledge base about GPCR oligomerization: GPCR-OKB (collaboration with Marta Filizola at the Mount Sinai School of Medicine).
- Integration of gene expression and epigenetic data to study non genetic inheritance of behavioral traits (in collaboration with Dr. Miklos Toth, Dept of Pharmacology).
We are physically located in the Institute for Computational Biomedicine, at the Weill Medical College of Cornell University (New York, NY, USA).