By Marvin Zelkowitz (Ed.)
This is often quantity seventy nine of Advances in pcs. This sequence, which begun e-book in 1960, is the oldest always released anthology that chronicles the ever- altering details expertise box. In those volumes we put up from five to 7 chapters, 3 times consistent with 12 months, that hide the most recent alterations to the layout, improvement, use and implications of computing device expertise on society at the present time.
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Additional info for Advances in Computers, Vol. 79
Mass spectroscopy spectra are directly pumped into the MeDICi integration framework that is responsible for reliable, in-order delivery to a number of software processing modules, the feature discovery module, and a central visualization and control software. The feature discovery module interprets the mass spectrum with our current deisotoping algorithm, which is a refinement of the THRASH algorithm . This feature list is then forwarded to an online alignment and peak-matching module. This module compares the features to those existing in a database and sends appropriate feedback to the mass spectrometer with a list of parent ions to be fragmented in the next fragmentation cycle.
First, we describe several data-intensive applications we are working on in biology. Then, we discuss APPLICATIONS IN DATA-INTENSIVE COMPUTING 21 applications in cyber security where the biggest challenges are presented in the fields of data streams and analysis of real-time network traffic. Finally, we discuss data-intensive applications of the Atmospheric Radiation Monitoring Program, which is a Department of Energy (DOE) sponsored, collaborative effort involving a number of research institutes.
Ru/) and the color of the edge conveys the identity of the species having the link. This has been used for multiple-genome analysis for up to 10 closely related species. Working directly with microbiologists has revealed the utility of this representation, which from a distance, allows analysts to determine which basis proteins are overor underrepresented in a given species. A second example of the value added to data-intensive bioinformatics by visualization is evident when looking at ortholog clusters across multiple species.
Advances in Computers, Vol. 79 by Marvin Zelkowitz (Ed.)