Prof. RA Calogero has a multi-year experience in transcriptomics data analysis. He is associate editor of BMC Bioinformatics. He is member of ISCB, BITS, SIBBM, SIC. He acts as consultant on transcriptomics analysis for private companies and academia. Prof. Raffaele A.Calogero obtained a degree in Biological Sciences in 1984. After a period at Max Plank Institute of Molecular Genetics in Berlin (D), where he was involved in studies regarding the mechanism of initiation of protein synthesis. In 1987 he moved to SORIN Biomedica (I), as researcher in the R&D department. In 1992 he got a position as Associate Professor of Molecular Biology at University ofNaples (I) “Federico II” where he setup a genomic-bioinformatics unit focused on transcription control. In 1998 he moved to the Medical School at University of Torino (I). Now, he is the PI of the Bioinformatics and Genomics unit(B&Gu) at MBC (Molecular Biotechnology Center, University of Torino, I), a branch of the Laboratory of Immunology (Forni/Cavallo). B&Gu is an interdisciplinary group devoted to the study of multifactorial diseases by mean of high throughput technologies - i.e. microarray, Next Generation Sequencing – and bioinformatics. B&Gu is part of the Tumor Immunology Group which has long been engaged in research on tumour immunogenicity. The immonology lab was established in 1977 by Guido Forni on his return from a 3-year postdoctoral position at the Laboratory of Immunology (National Institute of Auto-immune Disease, Bethesda, USA). Federica Cavallo, now a senior investigator, joined the laboratory in 1986 and began to work on the xenotransplantation of human leukaemias in immunosuppressed mice, and on the mechanisms of the anti-tumour activity of interleukin 12. Raffaele Calogero joined the group in 1999, when he moved from the Naples University Federico II, Italy. His background in molecular biology and bioinformatics and his consolidated experience in microarray data analysis and database mining have served to switch the laboratory’s classical immunological approach to a genome-wide vision.
