Computational Biology

Group Leader: Sandro J. De Souza Sandro J. De Souza

We are mainly interested in the development of strategies to explore the human transcriptome. The group was involved in a large-scale sequencing project, in which more than a 1 million ESTs from tumor samples and their normal counterparts were generated. We were also involved in the development of new bioinformatics approaches to explore SAGE (Serial Analysis of Gene Expression) data. Regarding the human transcriptome, we are particularly interested in alternative splicing. We believe that strategies based on bioinformatics will provide answers to several important questions regarding the regulation of alternative splicing. Finally, we are also trying to understand the relationship between alternative splicing and tumorigenesis. Several splicing variants seem to be correlated with specific features of different types of tumors. We are testing whether these associations are sporadic or whether they reflect a broader relationship between alternative splicing and tumorigenesis. These studies may have several implications in cancer therapy and diagnosis.

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Staff Members