MR.SYMBIOMATH

"High Performance, Cloud and Symbolic Computing in Big-Data problems applied to mathematical modeling of Comparative Genomics"

Coordinatore	UNIVERSIDAD DE MALAGA    more  Organization address address: CALLE EL EJIDO S/N city: MALAGA postcode: 29013 contact info Titolo: Mr. Nome: José Antonio Cognome: Molina Ruiz Email: send email Telefono: 34952132591 Fax: 34952131021
Nazionalità Coordinatore	Spain [ES]
Totale costo	2˙616˙332 €
EC contributo	2˙616˙332 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IAPP
Funding Scheme	MC-IAPP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-02-01   -   2017-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSIDAD DE MALAGA  Organization address address: CALLE EL EJIDO S/N city: MALAGA postcode: 29013 contact info Titolo: Mr. Nome: José Antonio Cognome: Molina Ruiz Email: send email Telefono: 34952132591 Fax: 34952131021	ES (MALAGA)	coordinator	403˙440.90
2	RISC SOFTWARE GMBH  Organization address address: Softwarepark 35 city: HAGENBERG postcode: 4232 contact info Titolo: Mr. Nome: Michael Thomas Cognome: Krieger Email: send email Telefono: 4372360000000 Fax: 4372360000000	AT (HAGENBERG)	participant	752˙191.10
3	BAYERISCHE AKADEMIE DER WISSENSCHAFTEN  Organization address address: ALFONS-GOPPEL-STRASSE 11 city: MUENCHEN postcode: 80539 contact info Titolo: Dr. Nome: Victor Cognome: Apostolescu Email: send email Telefono: +49 89 35831 8701 Fax: +49 89 35831 9700	DE (MUENCHEN)	participant	625˙743.40
4	INTEGROMICS SL ITG  Organization address address: AVENIDA DE INNOVACION GRANADA PARQUE TECNOLOGIA CIENCAS DE LA SALUD 1 BIC city: ARMILLA -GRANADA postcode: 18100 contact info Titolo: Dr. Nome: Isabel Cognome: Cuesta Email: send email Telefono: +34 665692160	ES (ARMILLA -GRANADA)	participant	368˙305.56
5	Servicio Andaluz de Salud  Organization address address: AVENIDA DE LA CONSTITUCION 18 city: SEVILLA postcode: 41071 contact info Titolo: Dr. Nome: Elena Cognome: Martin-Bautista Email: send email Telefono: 34671598903	ES (SEVILLA)	participant	233˙418.23
6	UNIVERSITAT LINZ  Organization address address: ALTENBERGERSTRASSE 69 city: LINZ postcode: 4040 contact info Titolo: Prof. Nome: Sepp Cognome: Hochreiter Email: send email Telefono: +43 732 2468 8880 Fax: +43 732 2468 9511	AT (LINZ)	participant	233˙233.44

Mappa

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 Obiettivo del progetto (Objective)

'Large scale genomics projects exploiting high throughput leading technology have produced and continue to produce massive data sets with exponential growing rates. So far, only a small part of this data can be abstracted, managed and processed, giving an incomplete understanding of the biological process being observed. The lack of processing power is a bottle neck in acquiring results. Comparative genomics is a good example since it includes all the ingredients: huge and ever growing datasets, complex applications that demands large computational resources and new mathematical and statistical models for analysing and synthetizing genomic information. A promising approach to address such massive data sets is the creation of new computer software that makes effective use of parallel processing. This proposal pursues the linking of different research domains to come up with a coordinated multi-disciplinary approach in the development of tools targeting Big-Data and computationally intensive scientific applications. Generic solutions for Big-Data storage, management, distribution, processing and final analysis will be developed. These solutions will target a broad range of scientific applications, in concrete, as proof-of-concept they will be implemented in the ‘Comparative Genomics’ field of bioinformatics and biomedical domains. Applications such as the detection of main evolutionary events, new comparative genomics’ models that can be evaluated experimentally, for inter-species evolutionary distance, the composition of the k-mers dictionaries for each specie, or customising symbolic computing methods to determine the consensus tree from a sequence of trees with application in multiple sequence alignments, phylogenetic studies, clustering algorithms, etc. present in diverse fields of bioinformatics, from NGS-DNA assembly to gene-expression, all of them well suited applications to apply HPC-CC approaches and with high and attractive potential for commercialization.'