Coordinatore | WEIZMANN INSTITUTE OF SCIENCE
Organization address
address: HERZL STREET 234 contact info |
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 |
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WEIZMANN INSTITUTE OF SCIENCE
Organization address
address: HERZL STREET 234 contact info |
IL (REHOVOT) | coordinator | 100˙000.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'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.'
A recent project has developed mathematical models to reconstruct biological networks such as those used to understand cell biology and evolution.
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.
Nitrogen removal in coastal sediments: molecular microbial ecology of nitrate reducing bacteria
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