1

Analysis of Microarray Data with THEA

Microarray technology makes it possible to measure thousands of variables and to compare their values under hundreds of conditions. Once microarray data are quantified, normalized and classified, the analysis phase is essentially a manual and …

Aspect and XML-oriented Semantic Framework Generator : Smarttools

SmartTools is a semantic framework generator, based on XML and object technologies. Thanks to a process of automatic generation from specifications, SmartTools makes it possible to quickly develop environments dedicated to domain-specific and …

DAM-BIO: Bioinformatics Internet Workbench for Protein Analysis. New Modules and Applications to Biological Problems

Computational analysis of protein sequences and structures is critical for the exploitation of the massive information contained in sequenced genomes. Direct access to bioinformatics tools through the Internet promotes their efficient use by …

PRED-CLASS: Bioinformatics Software for Generalized Protein Classification and Genome-Wide Applications

A cascading system of hierarchical artificial neural networks (named PRED-CLASS) is presented, for the generalized classification of proteins into four distinct classes: Transmembrane, Fibrous, Globular and ‘Mixed’, from information solely encoded in …

SmartTools: A Development Environment Generator Based on XML Technologies

SmartTools is a development environment generator that definitions of the manipulated languages. It can accept Doc- provides a structure editor and semantic tools as main fea- ument Type Definitions (DTDs) as AST definitions to define tures. …

A Distributed Editing Environment for XML Documents

XML is based on two essential aspects: the modelization of data in a tree like structure and the separation between the information itself and the way it is displayed. XML structures are easily serializable. The separation between an abstract …

A Workbench for Computational Analysis of Protein Sequence and Structure on the Internet

Computational analysis of protein sequences with statistical models, machine learning techniques or empirical rules leads to prediction of structural and functional features of the corresponding molecules. Taking into account the recent explosion of …

OrienTM: A Novel Method to Predict Transmembrane Protein Topology

The study of cellular membrane proteins calls for computational tools to elaborate their structure, using their amino-acid sequence alone. Unfortunately, even today, it is very difficult to solve their 3-D structure by X-ray crystallography or NMR. …

PRED-TMR2: An Hierarchical Neural Network to Classify Proteins as Transmembrane and a Novel Method to Predict Transmembrane Segments

This work presents a simple and fast artificial Neural Network (NN) with an hierarchical feed-forward topology and limited number of neurons, which classifies proteins into two classes, from their sequences alone: the membrane protein class and the …

A Web Interface for FT: A Tool Dedicated to the Study of Periodicities in Sequences

FT is a new implementation of the Fourier analysis method to locate residue periodicities in aminoacid or DNA sequences. It take advantage of the opportunity offered by the worldwide web to provide tools for a wide audience without any installation …