For several years now, there has been an exponential growth of the amount of life science data (e.g., sequenced complete genomes, 3D structures, DNA chips, Mass spectroscopy data) generated by high throughput experiments. Carrying out analyses of complex, voluminous, and heterogeneous data and guiding the analysis of data using a statistical and mathematical sound methodology is thus of paramount importance. Here we make and justify the observation that experimental replicates and phylogenetic data may be combined to strength the evidences on identifying transcriptional motifs, which seems to be quite difficult using other currently used methods. We present a case study considering sequences and microarray data from fungi species. Although we show that our methodology can result of immediate practical utility to bioinformaticians and biologists for annotating new genomes, here the focus is also on discussing the dependent interesting mathematical problems that high throughput data integration poses.
Bayesian variable selection
MCMC algorithm
Microarray data analysis
2008Contributo in Atti di convegnometadata only access
Numerical Grid Generation Wiktionary-Structured Knowledge for Research and Education (Data Base NGGW- Permanent Product of European Project EUA4X European Atelier for Engineering and Computational Sciences)
In this paper we present the advanced version of the Numerical Grid Generation Wiktionary (NGGW), the online dictionary on the MediaWiki collaborative platform. NGGW is an open access free tool for research and education in numerical grid generation. We illustrate and discuss the basic criteria to design this encyclopedic dictionary, we describe its scientific contents and we show a few representative pages. We present the sets of categories used to structure the grid generation knowledge.
Scientific Computing
Numerical grid generation
Online Data base
Structured Knowledge
This mathematically-oriented introduction takes the point of view that students should become familiar, at an early stage, with the physics of relativistic continua and thermodynamics within the framework of special relativity. Therefore, in addition to standard textbook topics such as relativistic kinematics and vacuum electrodynamics, the reader will be thoroughly introduced to relativistic continuum and fluid mechanics. Emphasis in the presentation is on the 3+1 splitting technique, widely used in general relativity for introducing the relative observers point of view.
