Research Projects

Funder: USDHH National Institute of General Medical Sciences

Integrative Visual and Computational Exploratory Analysis of Genomics Data
Principal Investigator(s):
Funder: USDHH National Institute of General Medical Sciences
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Future of Work
Integrative visual and computational exploratory analysis of genomics data High-throughput genomics is now shifting from a data generation field to a data analysis field. Rapid advances in sequencing technologies and their use in large consortium projects like Encode, 1000 genomes project and the Human Epigenome Roadmap, among others, hold promise for biomedical scientists to posit and test hypothesis on complex mechanisms of development and disease by integrating massive publicly available data as context for their own experimental data.