Contact Information

Primary Contact

Uma Shankavaram
Associate Scientist


10 center dr
Bethesda, Maryland 20854

Additional Contacts

Kevin Camphausen
Branch Chief


Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis related to genetics/genomics, and offers access to in-house built software tools.

Bioinformatics analysis: work with research scientists to provide consulting prior to experiments, analysis of high-throughput sequencing, gene expression, metabolomics, proteomics, and other biological data to identify:

  • prognostic biomarkers
  • transcription factor analysis
  • gene set enrichment analysis
  • prediction models
  • clinical genomics
  • meta-analysis

In-house application development: develop applications to enhance research through web applications for data analysis, databases, visualization, and custom analysis tools:

  • The Glioma Bio Discovery Portal (Glioma-BioDP) is a resource for accessing and displaying interactive views of brain cancer related high throughput molecular data from The Cancer Genome Atlas (TCGA).
  • Query and visualize gene, protein, and microRNA expression profiles.
  • Allow molecular, clinical and histological subtype comparisons.
  • Clinically relevant molecular profiles and inspection of predicted gene-microRNA regulatory relationships.
  • GBM: Search TCGA-GBM dataset by genes and miRNAs
  • LGG: Search TCGA-LGG dataset by genes and miRNAs
  • GBM vs LGG: Search both TCGA-GBM and TCGA-LGG dataset by genes and compare results between two TCGA brain cancer studies
  • SL-BioDP (The Synthetic Lethality BioDiscovery Portal) is a comprehensive web tool for systematic exploration and functional analysis of cancer-specific synthetic lethal (SL) interactions of known cancer susceptibility genes. It hosts SL interactions predicted using DiscoverSL: a machine-learning algorithm for multi-omic TCGA cancer data-driven synthetic lethal interactions. It provides extensive cross-references and user-friendly querying interfaces to support SL-related research. This web portal currently hosts SL interactions for 18 cancer types.

User Guidelines

Collaboration on a case-by-case basis on projects of mutual interest after initial consultation.