What kinds of problems do computational biologists work on?
Much of computational biology is concerned with the analysis of molecular data, such as biosequences (DNA, RNA, or protein sequences), three-dimensional protein structures, gene expression data, or molecular biological networks (metabolic pathways, protein-protein interaction networks, or gene regulatory networks). A wide variety of problems can be addressed using these data, such as the identification of disease-causing genes, the reconstruction of the evolutionary histories of species, and the unlocking of the complex regulatory codes that turn genes on and off. Computational biology can also be concerned with non-molecular data, such as clinical or ecological data.
