BIGDATA: F: DKA: DKM: Novel Out-of-core and Parallel Algorithms for Processing Biological Big Data
This is a project funded by NSF (1447711). Specific major goals of our project are: 1) To develop out-of-core algorithms for fundamental problems in Biological Big Data (BBD) processing such as sorting, graph problems, data structures, sequence analysis, and clustering; 2) To develop out-of-core algorithms for macro-problems including de novo genome and metagenome assembly, variant calling, and split-read mapping; 3) To implement the out-of-core and parallel algorithms and develop a software library.
Start Date: September 1, 2014
Sanguthevar Rajasekaran (University of Connecticut)