BIONETRECON

Reconstruction Algorithms for Biological Networks

Coordinatore	WEIZMANN INSTITUTE OF SCIENCE    more  Organization address address: HERZL STREET 234 city: REHOVOT postcode: 7610001 contact info Titolo: Ms. Nome: Talia Cognome: Tzahor Email: send email Telefono: +972 8 934 4026 Fax: +972 8934 4165
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
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-IRG-2008
Funding Scheme	MC-IRG
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-11-01   -   2015-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	WEIZMANN INSTITUTE OF SCIENCE  Organization address address: HERZL STREET 234 city: REHOVOT postcode: 7610001 contact info Titolo: Ms. Nome: Talia Cognome: Tzahor Email: send email Telefono: +972 8 934 4026 Fax: +972 8934 4165	IL (REHOVOT)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'We propose to develop reconstruction algorithms for biological networks. Biological networks such as Phylogenies and Pedigrees are key components in the mathematical analysis of evolution and population genetics. Cellular and Metabolic networks are extensively studied in molecular genetics. We will develop algorithms for reconstruction of networks from data and study cases where networks cannot be reconstructed. Our approach is rigorous: we specify models exactly and give explicit running time, sampling complexity and correctness guarantees thus laying foundations for more applied work in these areas.'

Introduzione (Teaser)

A recent project has developed mathematical models to reconstruct biological networks such as those used to understand cell biology and evolution.

Descrizione progetto (Article)

Mathematical models of networks are increasingly important in biology research. Complex network dynamics define many biological systems, such as ecosystems, co-evolution of species, and molecular networks in plants and animals.

The EU-funded 'Reconstruction algorithms for biological networks' (BIONETRECON) project aimed to build and test algorithms to assist scientists in reconstructing these biological networks. This is particularly useful for reconstructing evolutionary trees (called phylogenies), and interrelatedness between populations of a single species (pedigrees).

Project work first focused on ways to improve reconstruction of phylogenetic trees. Researchers made progress in more accurately defining the assumptions required to reconstruct these trees, thus improving the accuracy of said reconstruction.

Other BIONETRECON work proved that two long-held assumptions regarding phylogenetics are contradictory. The project also made progress in improving the accuracy of the Markov Chain Monte Carlo model, a common method used for phylogenetic reconstruction.

BIONETRECON has made important contributions in terms of improving the understanding and accuracy of biological network reconstruction.