The Institute for Systems Biology (ISB) Cancer Genomics Cloud
The Institute for Systems Biology (ISB) Cancer Genomics Cloud (ISB-CGC) is one of three pilot projects funded by the NCI with the goal of democratizing access to the TCGA data by substantially lowering the barriers to accessing and computing over this rich data set. The ISB-CGC is a cloud-based platform that will serve as a large-scale data repository for TCGA data, while also providing the computational infrastructure and interactive exploratory tools necessary to carry out cancer genomics research at unprecedented scales. The ISB-CGC will provide interactive and programmatic access to the TCGA data, leveraging many aspects of Google Cloud Platform including BigQuery and Compute Engine. The ISB-CGC aims to serve the needs of a broad range of cancer researchers ranging from scientists or clinicians who prefer to use an interactive web-based application to access and explore the rich TCGA data set, to computational scientists who want to write their own custom scripts using languages such as R or Python, accessing the data through APIs, to algorithm developers who want to spin up thousands of virtual machines to analyze hundreds of terabytes of sequence data. The ISB-CGC will allow scientists to interactively define and compare cohorts, examine the underlying molecular data for specific genes or pathways of interest, and share insights with collaborators around the globe.
Ilya Shmulevich received his Ph.D. in Electrical and Computer Engineering from Purdue University, West Lafayette, Indiana, in 1997. From 1997-1998, Dr. Shmulevich was a postdoctoral researcher at the Nijmegen Institute for Cognition and Information at the University of Nijmegen and National Research Institute for Mathematics and Computer Science at the University of Amsterdam in The Netherlands, where he studied computational models of music perception and recognition. In 1998-2000, he worked as a senior researcher at the Tampere International Center for Signal Processing at the Signal Processing Laboratory in Tampere University of Technology, Tampere, Finland. From 2001-2005, he was an Assistant Professor at the Cancer Genomics Laboratory in the Department of Pathology at The University of Texas M. D. Anderson Cancer Center and an Adjunct Professor in the Department of Statistics in Rice University. Presently, he is a Professor at The Institute for Systems Biology, where he directs a Genome Data Analysis Center that is part of The Cancer Genome Atlas (TCGA) project. Dr. Shmulevich is an Affiliate Professor in the Departments of Bioengineering and Electrical Engineering at the University of Washington, Department of Signal Processing in Tampere University of Technology, Finland, and Department of Electronic and Electrical Engineering in Strathclyde University, Glasgow, UK. His research interests include systems biology, cancer genomics, multiscale modeling, complex dynamical systems, nonlinear signal and image processing, and computational learning theory.
- Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics WorkshopApril 13, 2021 - April 14, 2021Using the Genomic Data Commons APIApril 26, 2021