Computational Biology and Bioinformatics Knowledge Discovery and Gene Expression Analysis At Los Alamos there are today a number of projects aiming at the understanding how the cell regulates collections of genes. Such projects are merging biology with informatics and other areas of computational science. Techniques in information retrieval, knowledge discovery, machine learning, computational learning theory, and information management, as well as continuing advances in computer hardware present us with the opportunity to make new discoveries in biology. The rapidly emerging fields of functional genomics and comparative genomics rely on genomic sequence, gene expression and proteomic data, and require the analysis of large heterogeneous data collections. I have been working in some of these projects, particularly in clustering methods for analysis of gene expression arrays, and intelligent information retrieval.
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I also teach a course in Bioinformatics at the Instituto Gulbenkian da Ciencia , Lisbon Portugal. Today, many more RNA editing mechanisms, have been observed. This research project aims at inves-tigating the third question from a complex, evolutionary, systems perspective. Developing computer simulations of populations of artificial organisms with different RNA editing capabilities, in order to investigate the hypotheses that RNA editing provides an evolutionary advantage to some organisms or that it is a relic of an ancient RNA world. Through RNA-like Sequence Editing.