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School of Computational Science and Engineering
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Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences
Distributed memory building blocks for massive biological sequence analysis
Agglomerative clustering for community detection in dynamic graphs
Algorithm design on multicore processors for massive-data analysis
A novel method for cluster analysis of RNA structural data
Numerical and streaming analyses of centrality measures on graphs
Graph analysis combining numerical, statistical, and streaming techniques
Graph analysis of streaming relational data
High performance computing algorithms for discrete optimization
High performance computing for irregular algorithms and applications with an emphasis on big data analytics