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THEA: Ontology-Driven Analysis of Microarray Data.

MOTIVATION 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 …

Evaluation of Annotation Strategies Using an Entire Genome Sequence

MOTIVATION: Genome-wide functional annotation either by manual or automatic means has raised considerable concerns regarding the accuracy of assignments and the reproducibility of methodologies. In addition, a performance evaluation of automated …

PRED-CLASS: Cascading Neural Networks 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 …

A Novel Tool for the Prediction of Transmembrane Protein Topology Based on a Statistical Analysis of the SwissProt Database: The OrienTM Algorithm

OrienTM is a computer software that utilizes an initial definition of transmembrane segments to predict the topology of transmembrane proteins from their sequence. It uses position-specific statistical information for amino acid residues which belong …

SmartTools: A Generator of Interactive Environments Tools

SmartTools is a development environment generator that provides a structure editor and semantic tools as main features. The well-known visitor pattern technique is commonly used for designing semantic analysis, it has been automated and extended. …

An Hierarchical Artificial Neural Network System for the Classification of Transmembrane Proteins

This work presents a simple artificial neural network which classifies proteins into two classes from their sequences alone: the membrane protein class and the non-membrane protein class. This may be important in the functional assignment and …

A Novel Method for Predicting Transmembrane Segments in Proteins Based on a Statistical Analysis of the SwissProt Database: The PRED-TMR Algorithm

We present a novel method that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The PRED-TMR algorithm described, refines a standard hydrophobicity analysis with a detection of potential termini …

CoPreTHi: A Web Tool Which Combines Transmembrane Protein Segment Prediction Methods.

CoPreTHi is a Java based web application, which combines the results of methods that predict the location of transmembrane segments in protein sequences into a joint prediction histogram. Clearly, the joint prediction algorithm, produces superior …

A Web Server to Locate Periodicities in a Sequence

FT is a tool written in C++, which implements the Fourier analysis method to locate periodicities in aminoacid or DNA sequences. It is provided for free public use on a WWW server with a Java interface. Availability : The server address is …