|
 |
| RIRAAF Project |
La Red Temática de Investigación Cooperativa de Reacciones Adversas a Alérgenos y Fármacos en España (RIRAAF), es una asociación de grupos de investigación de diferentes Administraciones, Instituciones y Comunidades Autónomas, que comparten líneas y objetivos de investigación para el estudio de las reacciones adversas causadas por alérgenos y fármacos, con el objetivo de promover la complementariedad de actuaciones. Su fin último es desarrollar y potenciar una estructura estable de investigación cooperativa en Red para integrar y coordinar la investigación de excelencia en este campo de la Biomedicina en España.
|
|
|
|
|
 |
| Proyecto TIC-7441 HPC-RAM (Propuesta proyectos Excelencia 2010) |
Plataforma computacional de alto rendimiento para la gestión y análisis de datos clínico-genéticos. El desarrollo e integración de nuevas aplicaciones biomédicas asistidas por desarrollos informáticos asistirán en la toma de decisiones para mejorar el diagnóstico y prognosis de las reacciones adversas a medicamentos. Este proyecto, de marcado carácter multi-disciplinar, impulsará nuevos desarrollos y colaboraciones en los sectores académicos, sanitarios, e industriales. La utilidad del proyecto se reflejará en la mejora de la calidad del ensamblado de secuencias, la reducción de los tiempos de cálculo, una mayor sensibilidad en las búsquedas de relaciones entre los datos y mayores posibilidades en la interrogación; todo ello acompañado de diversos mecanismos de divulgación y con amplias expectativas de uso a nivel regional, nacional e internacional.
Perfiles de los grupos
Curriculums investigadores
|
|
|
|
|
 |
| HPC4NGS - Acción integrada 2010 |
High-performance computing applied to next generation sequencing technologies
Next generation sequencing (NGS) has changed the bottleneck in sequence knowledge acquisition from sequencing to data interpretation, data integration and the experimental design. Few years ago the sequencing process was a tedious work where researchers had considerably high difficulties to manage all data generated during genomes sequencing and microarray analysis. Currently the huge technological growth in the whole genomes sequencing raised the necessity of specialized software to store, handle and extract information from this data amount at the same time that this is produced in order to avoid the data accumulation. This action proposes the knowledge and expertise exchange on two of the nowadays most important Next Generation Sequencing platforms. The coordination of experimentalist and data generators on one side and analyst specialized on producing the necessary technology to process the data processing on the other side creates the ideal study context to profile the application domain of the NGS and high performance computing. The computational requirements analysis of the large-scale data volume generation and treatment like storing, data access, integration with other data sources, problems with memory and CPU time consumption during their processing among others are some of the questions included in the frame of this bilateral collaboration action This action will coordinate different research groups each aiming at data treatment at different level. The experimental side will provide information about data production (e.g. storage formats and production levels); the final user groups will define the analysis and exploitation framework in the application domain. Our technological group will propose master lines to address the algorithmic and parallel solution to cover such demands.
|
|
|
|
|
 |
| Unified Allergies System |
| Base de datos que unifica los modelos de datos de distintos hospitales y contempla distintos tipos de alergia, pruebas y reacciones en un modelo completo y fácilmente adaptable a nuevos datos que permitan hacer búsquedas globales y unificadas. |
|
|
 |
| Genomed |
| This portal aims to provide useful information for biomedical projects. Therapy and diagnosis protocols can be individually enhanced by genetic profiling of patients, thereby improving outcomes such as less serious side-effects of treatments. Technological breakthroughs in genetic data acquisition are making economically feasible to obtain genetic and molecular information for patients in relatively short time, in such a way that nowadays it seems possible to include this information as part of the diagnosis and treatment protocols. However, the management of such different sources of data needs improved informatics support. It is equally important to ensure that ethical and legal aspects regarding patient data privacy are respected. You can find information regarding upcoming meetings and conferences, useful software for complex data mining etc. |
|
|
