The lab uses a combination of experimental and computational methods to analyze the somatic modifications occurring in the cancer genome. Two main lines of investigation are pursued:

 

1- estimation of cancer-associated genomic instability by large-scale re-sequencing of the cancer genome using next-generation technology;

 

2- analysis of evolutionary and network properties of cancer genes;

 

The ideal candidate must have a strong background in statistics, genetics and computational biology. Experience with the treatment of large-scale genomics data would be favourable.

 

The position is framed within the Structured International Post Doc program (SIPOD) of the IFOM-IEO-Campus, which offers highly competitive salaries and training opportunities. The program is co-funded in the context of the FP7 Marie Curie Actions – People.

 

For more information and inquiry, please contact

and visit http://www.semm.it/PostDoc.php

 

 

Recent publications of the group include:

 

- De Grassi A, et al (2010) PLoS Biology 8: e1000275

- De Grassi A, Ciccarelli FD  (2009) Genome Biol 10:R137

- Syed A, et al (2010) Nucleic Acids Res 38:D670

- Rambaldi D, Ciccarelli FD (2009) Bioinformatics  25:2281

- Rambaldi D, et al (2008) Trends Genet. 24:427-30

- Solda' G, et al (2008) BMC Genomics  9:174-186

- Fumasoni I, et al (2007) BMC Evol Biol  7:187-199