Computational Biology
The Computational Biology Core provides assistance in experimental design and data processing pipelines for high-throughput datasets generated in individual projects, particularly for DNA/RNA sequencing data. CBC's assistance falls broadly into the categories outlined below.
- Experimental Design and Power Analysis
- Benchmarking
- Technology Assessment
- Software Engineering
Data Science
The team of data scientists at CCV provide support for Brown researchers who would like help with statistical modeling, machine learning, and writing scientific software. The breath of methods with which we have expertise is broad—spanning anything from frequentist or Bayesian statistical inference to modern machine learning methods such as deep learning and reinforcement learning.
Hardware Purchasing
CCV's High-Performance Computing (HPC) Architect and HPC Systems Engineers have many decades of combined experience building and maintaining supercomputing systems for scientific research. They also have excellent relationships with many hardware vendors.
Are you preparing a grant proposal that involves a hardware purchase as part of a condo on Oscar? Or do you have an existing award, and you are considering a condo purchase? CCV is happy to help you determine what hardware would best satisfy your research computing needs.
CCV can also help provide quotes from hardware vendors that you may include as part of a grant proposal's budget.
If you would like to schedule a consultation, please complete the intake form linked below.
High-Performance Computing
CCV's team of research software engineers help researchers get the most out of Brown's high-performance computing (HPC) resources. They provide a range of services, including:
- Custom software development, including parallelization of existing programs
- Debugging of programs
- Code profiling to identify bottlenecks and optimize performance
- Assistance using Oscar, Brown's research computing cluster
- Assistance accessing computational resources made available through XSEDE
If you would like more information on CCV's HPC services, please contact support@ccv.brown.edu.
Software Engineering
CCV's research software engineers work with researchers to develop scientific software that is essential to conduct their research. This includes, for example, the development of tools and libraries for working with data, building workflows and infrastructure, and web application development. Our team of research software engineers also work with researchers to help take existing software and optimize it for performance and efficiency.
We have expertise in C, C++, CUDA, Fortran, JavaScript, Julia, Matlab, OpenCL, Python, R, and SQL. To achieve best practices in reproducible research, we use state-of-the-art technologies like Docker, Git and GitHub, Conda, among others.
Visualization
CCV's team of graphics software engineers provides a wide range of services to assist researchers at Brown with visualization projects, including:
- Expertise with graphics software and packages
- Familiarity with a wide range of cutting-edge visualization hardware
- Custom software development
- Experience implementing advanced visualization technology in labs and work environments across campus
If you would like more information on CCV's visualization services, please contact support@ccv.brown.edu.