In this paper, we present a current cooperativework involving different institutes around the world.Our aim is to provide an online Inductive LogicProgramming tool. This is the first step in a morecomplete structure for enabling e-technology formachine learning and bio-informatics. We describethe main architecture of the project and how thedata will be formatted ...

We study a real-world complex hybrid flow-shop scheduling problem arising from a bio-process industry. There are a variety of constraints to be taken into account, in particular zero intermediate capacity and limited waiting time between processing stages. We propose an exact solution approach for this optimization problem, based on a discrete time representation and a mixed-integer linear prog...

There is currently no standardized approach for parsing output that the numerous bioinformatical tools generate. Because the framework approach of the Bio-toolkits has some shortcomings, we searched for alternative approaches. To this end, we evaluated scanner generators for various programming languages with respect to their potential of standalone, small and fast applications that can easily ...

MOTIVATION Many biomedical ontologies use OBO or OWL as knowledge representation language. The rapid increase of such ontologies calls for adequate tools to facilitate their use. In particular, there is a pressing need to programmatically deal with such ontologies in many applications, including data integration, text mining, as well as semantic applications supporting translational research. ...

This paper considers the application of bio-inspired systems in the design of a novel and highly parallel image processing tool to detect edges within conventional grey-scale images. The aim of the work is to implement a new image processing architecture through evolvable hardware that is able to adapt according to the particular images encountered. The simulation of such a system through the u...

In this work, a hybrid, self-configurable, multilayered and evolutionary architecture for cognitive agents is developed. Each layer of the subsumption architecture is modeled by one different Machine Learning System MLS based on bio-inspired techniques. In this research an evolutionary mechanism supported on Gene Expression Programming to self-configure the behaviour arbitration between layers ...

Walter Gilbert, a renowned scientist, described this shift in biology as follows: "The new paradigm, now emerging, is that all of the “genes” will be known (in the sense of being resident in databases available electronically), and that the starting point of a biological investigation will be theoretical. An individual scientist will begin with a theoretical conjecture only then turning to expe...

UNLABELLED Most bioinformatics tools require specialized input formats for sequence comparison and analysis. This is particularly true for molecular phylogeny programs, which accept only certain formats. In addition, it is often necessary to eliminate highly similar sequences among the input, especially when the dataset is large. Moreover, most programs have restrictions upon the sequence name....

Automatically identifying frequent composite patterns in DNA sequences is an important task in bioinformatics, especially when all the basic elements (or monad patterns) of a composite pattern are weak. In this paper, we compare one straightforward approach to assemble the monad patterns into composite patterns to two other rather complex approaches. Both our theoretical analysis and empirical ...

three hundred twin births from a hospital in tehran, iran have been analyzed for seasonal variation at birth and physical measurements. the results show that the highest twinning rates for mm (5.61), ff (7.73) and mf (5.36) were seen in april, january and september, respectively. the four physical measurements at birth showed non-significant differences among the male and female twins, but mm a...