A research team co-led by CUNY Graduate School of Public Health and Health Policy associate professor,Dr. Levi Waldron, was awarded a $3.7 million competitive renewal by the National Institutes of Health’s National Cancer Institute (NCI) to develop the open-source Bioconductor bioinformatics platform to meet the demands of analyzing the next generation of technology in cancer genomics research.
Over the previous five years of the project, “Cancer Genomics: Integrated and Scalable Solutions in R/Bioconductor,” Dr. Waldron and colleagues developed open-source software and databases for the analysis of multi-omic investigations of cancer, experiments where the genomic and biological alterations occurring in cancer are interrogated by observing multiple types of aberrations in the same tumor. They also developed general computing infrastructure for handling the demands of these large datasets, including for parallel computing and file caching.
Over the next five years, the team will further expand the core infrastructure of the Bioconductor software platform to meet the demands of a new class of experiments that collect data on multiple types of biological molecules at the level of single cells. The project will meet the needs of data analysts currently unable to efficiently perform statistical analysis or develop methods for analysis of such data, because the capacity to generate large and complex data has outpaced the ability to perform statistical analysis and visualization on it.Friday Letter Submission, Publish on September 20