Need help with your project or using Brown's computing resources? The CBC holds Computational Biology office hours twice weekly and is present at weekly Center for Computation and Visualization (CCV) office hours. Check our events schedule for upcoming times and locations.
Need more specialized support beyond office hours? Request a consultation with us.
The core provides assistance in experimental design and data processing pipelines for high-throughput datasets, particularly for DNA/RNA sequencing data. Our assistance falls broadly into the categories outlined below.
Conduct in silico experiments to assess power and sensitivity/specificity in the experimental design.
Use public and internal data for simulation studies to provide comprehensive prediction of possible outcomes to ensure efficient use of technologies.
Provide guidance on technologies; for example, selection of single end/paired-end sequencing, multiplexing, sequencing depth, sample pooling etc.
As part of Brown University's Center for Computation and Visualization (CCV), the CBC is uniquely equipped to meet the specialized software development and infrastructure needs of genomic research. We combine the CBC's deep biological and computational expertise with the CCV's research software engineering and high-performance computing (HPC) capabilities. This synergy provides comprehensive support tailored to genomic data analysis, empowering your research with cutting-edge software solutions, efficient data processing pipelines, and reliable computational infrastructure.
The CBC and CCV can assist with the design, development, and optimization of custom software applications tailored to specific genomic research questions. This includes developing new tools for data analysis, visualization, or experimental design.
We offer expertise in creating interactive web-based tools and applications for sharing data, visualizing results, or providing user-friendly interfaces.
We can help with packaging your tools, managing dependencies, and facilitating their distribution to the wider scientific community.
We can provide guidance and implement strategies for reproducible research workflows, including containerization, version control, and documentation.
We design and implement robust and scalable data storage solutions and processing pipelines optimized for large-scale genomic datasets, ensuring efficient data handling from raw reads to final analysis.
Provide guidance on technologies; for example, selection of single end/paired-end sequencing, multiplexing, sequencing depth, sample pooling etc.
Have an idea of how a collaboration with CBC can help achieve your computational research goals? We’d love to hear from you.
Contact UsResearch reported on this site is supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number P20GM109035.