Algorithms and Data Structures for Analyzing Genomic Data
We’re active in the development of computational algorithms for analyzing biological data generated through high-throughput experimental techniques, such as sequencing technologies. Our experts are also active in the design of algorithms and data structures for processing, organizing, indexing and querying high-throughput genomics data.
Our Experts:
Rita R. Colwell
Featured News
Pop Receives $2.6M NIH Grant to Develop Computational Tools for Metagenomic Analyses
The funding supports Pop's efforts to build software and develop algorithms that will help scientists better understand bacteria.
Patro Awarded $350K to Improve Genomics Processing Tools
He will use the funding from the Chan Zuckerberg Initiative to improve upon a “constellation” of inter-related tools his lab has developed to process genomic…
Developing Advanced Tools to Improve Accuracy and Accessibility for Long-Read RNA Sequencing
Rob Patro has secured a grant from NIH to enhance computational methods for long-read RNA sequencing, technology that is crucial for investigating disease…