Applications include sequence searching and alignment, phylogenetic trees, structural classes in proteins, protein potentials, calcium and neural spike dynamics and DNA structure. We also encourage submissions dealing with maximum entropy methods. These methods have found widespread applications in spectral analysis and image reconstruction. Additional applications have appeared in nucleotide sequence analysis, protein dynamics, peptide structure and drug absorption. 50 years after Shannon's pioneering paper, entropy has become an integral part of several biological disciplines dealing with information storage and transmission.
Examples are kin recognition, evolution and neuronal coding.
Information theory is particularly relevant in several areas of molecular biology. Genetic networks have also been studied with information-theoretic tools. In all these cases, the information content of the system or phenomena is of intrinsic interest in its own right. The goal of the session is to bring together researchers working on a broad range of applications of information theory to biological systems. We seek to highlight the breadth and diversity of applications of information theory to biological systems.