WGEN MUTATION

Understanding mutation using genome-wide sequence-based approaches

 Coordinatore TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

 Organization address address: TECHNION CITY - SENATE BUILDING
city: HAIFA
postcode: 32000

contact info
Titolo: Mr.
Nome: Mark
Cognome: Davison
Email: send email
Telefono: +972 4 829 3097
Fax: +972 4 823 2958

 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-2012-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-08-01   -   2016-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

 Organization address address: TECHNION CITY - SENATE BUILDING
city: HAIFA
postcode: 32000

contact info
Titolo: Mr.
Nome: Mark
Cognome: Davison
Email: send email
Telefono: +972 4 829 3097
Fax: +972 4 823 2958

IL (HAIFA) coordinator 100˙000.00

Mappa


 Word cloud

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

bacterial    data    elucidate    genome    cancer    rates    mutation    genomic    variation    medically    ability    patterns   

 Obiettivo del progetto (Objective)

'Mutation is the ultimate source of all genetic variation and as such propels the many biological processes that depend on such variation. These include such medically relevant processes as the development of antibiotic resistance, adaptation of pathogens and commensal bacteria to their hosts, and cancer development. Despite the importance of mutation we currently know very little about the dynamics of how the mutational process affects patterns of genomic variation. I propose here to creatively utilize new sequencing technologies, and the resulting ability to obtain extremely large quantities of genomic sequence data to, in a manner never before possible, study mutation, and variation in mutation at a genome-wide level. The work proposed here will address some of the most pressing open questions regarding mutation, and how it shapes patterns of genomic variation: I will use genome-wide, unbiased approaches to quantify overall mutation rates, and elucidate the ways in which differences in the relative rates of different types of mutations bias the patterns of genomic variation generated by mutation. I will reveal how the overall rates of mutation, and the biases introduced by mutation vary, be it between different bacterial lineages, within bacterial populations, in response to changes in bacterial growth, or in the case of somatic mutation in mammals, with age. In addition to shedding much light on what is one of the major forces of evolution, the results of this project will have clear implications for, among other things, our ability to elucidate function from data of genomic variation, our understanding of medically relevant bacterial adaptations, and our understanding of cancer development, and the relationship between cancer and aging.'

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