Background: Phyloinformatic analyses involve large amounts of data and metadata of complex structure. Collecting, processing, analyzing, visualizing and summarizing these data and...
Rutger A. Vos, Jason Caravas, Klaas Hartmann, Mark...
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...
Mi-Youn K. Brusniak, Sung-Tat Kwok, Mark Christian...
Supercomputing Centers (SC’s) are unique resources that aim to enable scientific knowledge discovery through the use of large computational resources, the Big Iron. Design, acq...
E. Wes Bethel, John Van Rosendale, Dale Southard, ...
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...