I have been studying problems from computational biology for more than 14 years. My work to date primarily revolves around the use of pattern discovery as a tool for tackling very diverse problems from computational biology. Since 1996, I have been publishing on methods that showcase the use of data mining in these very diverse contexts: discovery of patterns in biological sequences (nucleic and amino acids), multiple sequence alignment, gene expression data, the functional and structural annotation of proteins directly from sequence, the characterization and prediction of local 3D structure directly from primary data, genes discovery in prokaryotic organisms, the annotation of complete genomes, RNA interference, etc.
Currently, a large part of my time is devoted to the development of computational methods for the study of the RNA interference phenomenon, the analysis of non-coding regions of eukaryotic genomes, the study of cancer from the standpoint of cell process regulation, and the study of the several viruses.
Our algorithms and techniques are being exploited in the context of research collaborations with colleagues around the world (see Collaborators for more details). The Publications links contains an up-to-date list of references to my published, computational biology work.
Over the years, there has also been extensive coverage of the work that has come out of my group. The following is a sample of links and references to some such articles.