Translational research combining orthologous genes and human diseases with the OGOLOD dataset

OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked Open Data cloud.

TIMPANO: Technology for complex Human-Machine conversational interaction with dynamic learning

El proyecto TIMPANO tiene por objetivo profundizar en el desarrollo de sistemas de comunicación oral hombre-máquina atendiendo principalmente a la capacidad de dar respuesta a múltiples requerimientos de los usuarios, como pueden ser el acceso a información, la extracción de información, o el análisis de grandes repositorios de información en audio. En el proyecto se hace especial énfasis en la adaptación dinámica de los modelos a diversos contextos, tanto de tipo acústico, como semántico o de idioma.

Publishing Orthology and Diseases Information in the Linked Open Data Cloud

The Linked Data initiative offers a straight method to publish structured data in the World Wide Web and link it to other data, resulting in a world wide network of semantically codified data known as the Linked Open Data cloud. The size of the Linked Open Data cloud, i.e. the amount of data published using Linked Data principles, is growing exponentially, including life sciences data. However, key information for biological research is still missing in the Linked Open Data cloud. For example, the relation between orthologs genes and genetic diseases is absent, even though such information can be used for hypothesis generation regarding human diseases. The OGOLOD system, an extension of the OGO Knowledge Base, publishes orthologs/diseases information using Linked Data. This gives the scientists the ability to query the structured information in connection with other Linked Data and to discover new information related to orthologs and human diseases in the cloud.

A guided heuristic approach to the MEG inverse problem.

There is general agreement within the scientific community in considering Biology as the science with more potential to develop in the XXI century. This is due to several reasons, but probably the most important one is the state of development of the rest of experimental and technological sciences. In this context, there are a very rich variety of mathematical tools, physical techniques and computer resources that permit to do biological experiments that were unbelievable only a few years ago. Biology is nowadays taking advantage of all these newly developed technologies, which are been applied to life sciences opening new research fields and helping to give new insights in many biological problems. Consequently, biologists have improved a lot their knowledge in many key areas as human function and human diseases. However there is one human organ that is still barely understood compared with the rest: The human brain. The understanding of the human brain is one of the main challenges of the XXI century. In this regard, it is considered a strategic research field for the European Union and the USA. Thus, there is a big interest in applying new experimental techniques for the study of brain function. Magnetoencephalography (MEG) is one of these novel techniques that are currently applied for mapping the brain activity1. This technique has important advantages compared to the metabolic-based brain imagining techniques like Functional Magneto Resonance Imaging2 (fMRI). The main advantage is that MEG has a higher time resolution than fMRI. Another benefit of MEG is that it is a patient friendly clinical technique. The measure is performed with a wireless set up and the patient is not exposed to any radiation. Although MEG is widely applied in clinical studies, there are still open issues regarding data analysis. The present work deals with the solution of the inverse problem in MEG, which is the most controversial and uncertain part of the analysis process3. This question is addressed using several variations of a new solving algorithm based in a heuristic method. The performance of those methods is analyzed by applying them to several test cases with known solutions and comparing those solutions with the ones provided by our methods.

Monitorización de la integración de sistemas intensivos software

El software se ha convertido en el eje central del mundo actual, una compleja creación humana que influye en la vida, negocios y comunicación de todas las personas pertenecientes a la Sociedad de la Información. El rápido crecimiento experimentado en el ámbito del desarrollo software ha permitido la creación de avanzadas estructuras tecnológicas, denominadas “Sistemas Intensivos Software”, capaces de comunicarse con otros sistemas, dispositivos, sensores y personas. A lo largo de los próximos años los sistemas se enfrentarán a una mayor complejidad, surgida de la necesidad de operar en entornos de grandes dimensiones y de comportamientos no deterministas. Los métodos y herramientas actuales no son lo suficientemente potentes para diseñar, construir,implementar y mantener sistemas intensivos software con estas características, y detener la construcción de sistemas intensivos software o construir sistemas poco flexibles o fiables no es una alternativa real. En el desarrollo de “Sistemas Intensivos Software” pueden llegar a intervenir distintas entidades o compañías software que suelen estar en ubicaciones geográficas distintas y constituidas por grandes equipos de desarrollo, multidisciplinares e incluso multilingües. Debido a la criticidad del resultado de las actividades realizadas de forma independiente en el sistema resultante, éstas se han de controlar y monitorizar para asegurar la correcta integración de todos los elementos del sistema completo. El objetivo de este proyecto es la creación de una herramienta software para dar soporte a la gestión y monitorización de la construcción e integración de sistemas intensivos software, siendo extensible también a proyectos de otra índole. La herramienta resultante se denomina Positioning System, una aplicación web del tipo SPA (Single Page Application) creada con tecnología de última generación como el framework JavaScript AngularJS y tecnología de back-end como SlimPHP. Positioning System provee la funcionalidad necesaria para la creación de proyectos, familias y subfamilias de productos que constituyen los productos software de los proyectos creados, así como la gestión de socios comerciales y gestión de contactos de dichos proyectos. Todas estas funcionalidades son fácilmente monitorizadas y controladas por gráficos estadísticos generados para cada proyecto. ABSTRACT Software has become the backbone of today’s world, a complex human creation that has an important impact in the life, business and communication of all people involved with the Information Society. The quick growth that software development has undergone for last years has enabled the creation of advanced technological structures called “Software Intensive Systems”. They are able to communicate with other systems, devices, sensors and people. Next years, systems will face more complexity. It arises from the need of operating systems of large dimensions with non-deterministic behaviors. Current methods and tools are not powerful enough to design, build, implement and maintain software intensive systems; however stopping the development or developing unreliable and non-flexible systems is not a real alternative. Software Intensive Systems” development may involve different entities or software companies which may be in different geographical locations and may be constituted by large, multidisciplinary and even multilingual development teams. Due to the criticality of the result of each conducted activity, independently in the resulting system, these activities must be controlled and monitored to ensure the proper integration of all the elements within the complete system. The goal of this project is the creation of a software tool to support the management and monitoring of the construction and integration of software intensive systems, being possible to be extended to other kind of projects. The resultant tool is called Positioning System, a web application that follows the SPA (Single Page Application) style. It was created with the latest technologies, such as, the AngularJS framework and SlimPHP. The Positioning System provides the necessary features for the creation of projects, families and subfamilies of products that constitute the software products of the created projects, as well as the management of business partners and contacts of these projects. All these features are easily monitored and controlled by statistical graphs generated for each project.