BIONETRECON

Reconstruction Algorithms for Biological Networks

 Coordinatore 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

 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

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

genetics    models    reconstructing    pedigrees    network    networks    biological    phylogenetic    accuracy    phylogenies    reconstruction    reconstruct    species    biology    molecular    made    for    trees    assumptions    progress    bionetrecon    algorithms    mathematical    evolution   

 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.

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