The Department of Computational Biology develops innovative computational methods to answer challenging biological questions. Through the integration of dry- and wet-lab approaches, cutting-edge software development, and interdisciplinary collaboration, we generate knowledge and tools to advance the treatment of pediatric cancers and other catastrophic diseases.
Analytical techniques and visualization tools developed through major interdisciplinary efforts like the St. Jude–Washington University Pediatric Cancer Genome Project (PCGP) have led to major findings about pediatric cancer genomes — including novel driver and predisposing mutations — and the nomination of therapeutic strategies.
Our data-driven approaches are now being used for many clinical applications, including cancer genetic predisposition studies and the development of targeted therapies. Some of these are being assessed in St. Jude-led pediatric clinical trials. To advance cures, we freely share our data analysis software and interactive visualization tools with the global scientific community.
In the news
Leading the way in unparalleled data analysis and visualization, St. Jude announces the survivorship portal, part of the St. Jude Cloud ecosystem. Learn more.
In the news
Scientists at St. Jude characterized early developmental stages of B-cells, which allowed them to design and test a new drug combination to treat resistant B-cell leukemia. Find out how.
In the news
Large swaths of data are now being generated by labs across the world. But having the tools to process enormous amounts of data, and make them publicly accessible, is a challenge. St. Jude Cloud enables scientists to process and share their work. Explore St. Jude Cloud.
In the news
St. Jude scientist Brian Abraham, PhD, conducts computational research leveraging complementary relationships and expertise to make discoveries. Read his story.
In the news
An upgraded computational tool from St. Jude Children’s Research Hospital can find potentially druggable drivers of cancer and other biological processes hidden in multi-omics data. Discover how.
In the news
Studying genomics means creating big data. Scientists at St. Jude have developed numerous tools and techniques for tackling data with cutting-edge visualizations and analysis. Learn more #StJudeOn
In the news
Investigator Brian Abraham, PhD, was featured on the 2022 list of Highly Cited Researchers who demonstrate exceptional influence in their fields. Read more here.
In the news
St. Jude Children’s Research Hospital findings lay the groundwork for identifying pediatric cancer survivors at higher risk of accelerated aging and chronic diseases. Explore the work.
In the news
St. Jude Children’s Research Hospital scientists created the largest cloud-based genomic resource for pediatric cancer and a data-sharing model to accelerate life-saving research. Read the press release.
Research interests: systems biology, systems immunology, immuno-oncology, single-cell systems, biology, translational oncology, functional genomics
Collaborations: Epidemiology and Cancer Control, Pathology, Oncology, Developmental Neurobiology, Pharmaceutical Sciences, Cell and Molecular Biology, Surgery, Bone Marrow Transplant and Cellular Therapy, Chemical Biology and Therapeutics, Hematology, Structural Biology, Tumor Cell Biology
Research interests: pediatric cancer genomics, non-coding variants, population genetics, clonal evolution, cancer predisposition, immunotherapy
Collaborations: Epidemiology and Cancer Control, Pathology, Oncology, Global Pediatric Medicine, Developmental Neurobiology, Biostatistics, Pharmaceutical Sciences, Cell and Molecular Biology, Bone Marrow Transplant and Cellular Therapy, Immunology, Infectious Disease, Chemical Biology and Therapeutics, Hematology, Structural Biology, Tumor Cell Biology
Solving computational biology problems through software engineering, with an emphasis on infrastructure development, clinical analysis support, and tool sharing
Providing the research community with genomic and clinical data visualization and real-time analysis features through our open-source web service, ProteinPaint
