The Functional Genomics laboratory is looking for an enthusiastic and motivated individual to join the staff of the Functional Genomics Centre at the University of Verona, Italy. Our research group is committed to the study of the genome and transcriptome using NGS technologies (Illumina) both in model and non-model organisms. The successful candidate will engage genome structural annotation, variant detection and analysis, transcriptome assemblies and expression analysis in a variety of different research projects. The candidate will also be tasked with the development of internal analysis pipelines and with tailoring them for the different projects he will be engaged in. The offered position is initially for 1 year. The successful candidate will collaborate with the other members of the team and will be involved in international collaborations.
Relevant publications of the lab specific for this position:
Da Silva, C., Zamperin, G., Ferrarini, A., Minio, A., Dal Molin, A., Venturini, L., … Delledonne, M. (2013).
The High Polyphenol Content of Grapevine Cultivar Tannat Berries Is Conferred Primarily by Genes That Are Not Shared with the Reference Genome. The Plant Cell, 1, 1–13. doi:10.1105/tpc.113.118810
Aragona, M., Minio, A., Ferrarini, A., Valente, M. T., Bagnaresi, P., Orrù, L., … Delledonne, M. (2014).
De novo genome assembly of the soil-borne fungus and tomato pathogen Pyrenochaeta lycopersici. BMC Genomics, 15, 313. doi:10.1186/1471-2164-15-313
De novo genome assembly of the soil-borne fungus and tomato pathogen Pyrenochaeta lycopersici. BMC Genomics, 15, 313. doi:10.1186/1471-2164-15-313
Venturini, L., Ferrarini, A., Zenoni, S., Tornielli, G. B., Fasoli, M., Dal Santo, S., … Delledonne, M. (2013).
De novo transcriptome characterization of Vitis vinifera cv. Corvina unveils varietal diversity. BMC Genomics, 14(1), 41. doi:10.1186/1471-2164-14-41
De novo transcriptome characterization of Vitis vinifera cv. Corvina unveils varietal diversity. BMC Genomics, 14(1), 41. doi:10.1186/1471-2164-14-41
Experience required:
good knowledge of computational methods for sequence analysis, Linux bash and at least one programming/scripting language (e.g. Python, Perl, R) are required.
How to apply:
candidates should e-mail a letter of motivation and a CV to massimo.delledonne@univr.it