Bioinformatics and Computational Science
The Bioinformatics and Computational Science Directorate advances disease research by cultivating innovative collaborations and robust integration of scientific data, advanced computing and applied artificial intelligence and machine learning to overcome leading challenges in cancer, AIDS and emerging infectious diseases.
The program works collaboratively to support the Frederick National Laboratory’s mission in biomedical informatics and advanced computing.
Our teams provide the advanced services, infrastructure, software development and analytical tools to researchers nationwide to accelerate the translation of biomedical data to scientific discoveries, insights, medical treatments, diagnostic approaches and prevention tools for cancer, AIDS and emerging health threats. We have developed critical infrastructure for data management and analysis of genomics, proteomics and imaging for the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases, National Center for Advancing Translational Sciences, National Heart, Lung, and Blood Institute, Walter Reed Army Institute of Research and the cancer research community at large.
The Bioinformatics and Computational Science Directorate has developed and implemented several platforms for data management in biomedical collaborations, such as:
The NCI Cancer Research Data Commons is a program covering multiple individual projects including the Expand Data Commons, the NCI Cloud Resources, the Cancer Data Commons Framework, the Integrated Canine Data Commons and the Bento Framework.
Development of a Childhood Cancer Data Ecosystem (CCDE) to maximize the access, use, and interoperability of childhood cancer data. The successful implementation of a CCDE will enhance the pediatric cancer community’s efforts in the prevention, diagnosis, and treatment outcomes for childhood cancer patients.
In 2020, the Advanced Biomedical Computational Sciences team benchmarked single-cell RNA sequencing technologies as part of a multicenter study.
In 2022, a publication with our quantum chemistry calculations was selected as one of the most interesting articles in the journal of Photochemistry and Photobiology.
In 2020, members of our ABCS team placed third in the International Symposium on Biomedical Imaging’s Multi-Organ Nuclei Segmentation and Classification Challenge.
National Cancer Institute Serological Sciences Network data management system, a cloud-based platform to enable data sharing across the network’s collaborators.
Bento software framework, an open Docker platform that enables and accelerates deployment of data commons sites for the NCI’s Cancer Research Data Commons.