Custom Integrated Circuits

Contains table of contents for Part III, table of contents for Section 1 and reports on eleven research projects.IBM CorporationMIT School of EngineeringNational Science Foundation Grant MIP 94-23221Defense Advanced Research Projects Agency/U.S. Army Intelligence Center Contract DABT63-94-C-0053Mitsubishi CorporationNational Science Foundation Young Investigator Award Fellowship MIP 92-58376Joint Industry Program on Offshore Structure AnalysisAnalog DevicesDefense Advanced Research Projects AgencyCadence Design SystemsMAFET ConsortiumConsortium for Superconducting ElectronicsNational Defense Science and Engineering Graduate FellowshipDigital Equipment CorporationMIT Lincoln LaboratorySemiconductor Research CorporationMultiuniversity Research IntiativeNational Science Foundatio

Time to collision algorithm : properties and real time implementation

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.Includes bibliographical references (p. 63).by Stanislav E. Frumkin.M.S

Visualizing codon usage within and across genomes : concepts and tools

Cost and time of genome sequencing have plummeted over the last decade. This leads to explosive growth of genetic databases and development of novel sequencing-based approaches to study various biological phenomena. The database growth was particularly beneficial for investigation of protein-coding sequences at the codon level, requiring the access to large sets of related genomes. Such studies are expected to illuminate biological forces that shape primary structure of coding sequences and predict their evolutionary trajectories more precisely. In addition to fundamental interest, codon usage studies are of ample practical value, for example, in drug discovery and genomic medicine areas. Nevertheless, the depth of our understanding of codon-related issues is currently shallower as compared to what we know about nucleotide and amino acid sequences. Besides the lack of adequate datasets in the early days of molecular biology, codon usage studies, in our opinion, suffer from underdevelopment of easy-to-use tools to analyze and visualize how codon sequence changes along the gene and across the homologous genes in course of evolution. In this review, we aim to describe main areas of codon usage studies with an emphasis on the tools that allow visual interpretation of the data. We discuss underlying principles of different approaches, what kind of statistics lends confidence in their results and what has to be done to further boost the field of codon usage research