Bioinformatics Shared Resource
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The Fred & Pamela Buffett Cancer Center (FPBCC) Bioinformatics Shared Resource fosters research and teaching activities related to bioinformatics and systems biology.
Bioinformatics Shared Resource Specific Aims:
- Develop the needed infrastructure to provide up-to-date bioinformatic data analysis services.
- Provide expert consultation, access to resources and data analysis services to meet the bioinformatic needs of FPBCC investigators.
Equipment:
- Husker HPC Cluster with 6 nodes- 432 Cores, up to 1 TB RAM/node and up to 1 Petabyte storage space
- Two GPU Lambda servers with 64 Cores, 16 GPUs and up to 1.5 TB RAM and 24 GB of VRAM/GPU
- Five Virtual Machines (VMs) for custom use
Services:
- Primary analysis of NGS and multiome datasets (whole genome/exome, transcriptome, epigenome, metagenome, single cell multiome)
- Analysis of public domain datasets such as TCGA, ICGC and TARGET, and downstream characterization of genes and gene products
- ML/DL/AI applications for cancer subtyping, prognostic prediction, and biomarker identification
- Grant support – consultation on experimental design, data access, data deposition, support letters
Find more information on: Services, Pricing and Request Form
Impact
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The Bioinformatics Shared Resource is located in the Durham Research Center I, allowing 80% of the FPBCC members easy access.
The Bioinformatics Shared Resource is instrumental in offering pilot support for high-performance computing infrastructure, enabling virtual screening of ultra-large compound libraries with local resources.
It has also contributed to the development of several online and cloud-based bioinformatics training modules, as well as ML/AI tools for cancer subtyping.
Director
Director, Bioinformatics Shared Resource