Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

BIOPREDYN

Financiado

Cerrado

From Data to Models New Bioinformatics Methods and Tools for Data Driven Predic...

From Data to Models New Bioinformatics Methods and Tools for Data Driven Predictive Dynamic Modelling in Biotechnological Applications Currently, biologists are collecting enormous amounts of ‘omics’ data in a vast number of different databases. Predictive, data-driven computational models are needed to understand the complex, multi-scale biological networks unde... ver más

31/03/2015

FUNDACIO PRIVADA C...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

FUNDACIO PRIVADA CENTRE DE REGULACIO GENOMICA Otras actividades deportivas asociacion

TRL 4-5 | 50K€

Fecha límite participación Sin fecha límite de participación.

Ver 11 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-03-31 No tenemos la información de la convocatoria

0% 78% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

11 Participantes

FUNDACIO PRIVADA CENTRE DE R...

0.00€ | Lider

UvA

N.D. | Participante

COSMO

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

PTQ2021-011654 DESARROLLO DE MODELOS PREDICTIVOS PARA INTERACCIONES MOLECUL... 99K€ Cerrado

TIN2008-00556 APRENDIZAJE AUTOMATICO DE MODELOS MARKOVIANOS GRAFICOS MEDIA... 29K€ Cerrado

TIN2012-38805 UN ENFOQUE INTEGRADOR BASADO EN BIOLOGIA DE SISTEMAS PARA EN... 30K€ Cerrado

TIN2011-27479-C04-01 MINERIA EN DATOS BIOLOGICOS Y SOCIALES: ALGORITMOS, TEORIA E... 92K€ Cerrado

PRE2019-091276 Computational-Systems Biology and Genomics Program (CsBGP) 98K€ Cerrado

REALISTIC CODON MODE Biologically motivated probabilistic evolutionary models and... 100K€ Cerrado

Líder del proyecto

FUNDACIO PRIVADA CENTRE DE REGULACIO GENOMICA Otras actividades deportivas asociacion

TRL 4-5 | 50K€

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Currently, biologists are collecting enormous amounts of ‘omics’ data in a vast number of different databases. Predictive, data-driven computational models are needed to understand the complex, multi-scale biological networks underlying these high-throughput datasets. Such models are non-linear and contain many parameters, which are difficult (or impossible) to measure directly. Instead, parameters need to be inferred from data. This approach is called reverse-engineering. It has tremendous potential for several areas, such as biotechnology and systems biology, since it allows us to develop models with unprecedented accuracy and predictive power. This is achieved through an iterative refinement of our models compared to quantitative ‘omics’ data, a process called the systems-biology modelling cycle. Many methods have been developed that deal with specific steps in this cycle (data analysis, model building/discrimination, parameter estimation/identifiability analysis, uncertainty quantification, and optimal experimental design), but we still lack an over-arching, easy-to-use software framework that supports the modelling cycle in its entirety, allowing its widespread application. This project aims at improving accessibility of the data, and developing novel algorithms and tools implemented in such a general framework, which will enable the efficient transfer of cutting-edge modelling and optimisation methods from an academic research setting to private biotechnology partners. We will use representative biological and biotechnological applications as benchmark problems to develop robust and generally applicable methodology. The availability of such tools to the biotechnology sector (and other industries) will greatly enhance our ability to design and optimise complex production processes, especially those of nutraceuticals, biopharmaceuticals, or fine chemicals based on engineered organisms such as bacteria, yeast or plants.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores