Biological Information Theory

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Biological Information Theory Shannon information theory to decipher biological systems Sequence logos based on information theory are an essential tool for visualizing related sequences.

In molecular biology, Shannon information theory provides a powerful way of quantifying overall sequence conservation among sets of related sequences. Sequence variation can be comprehensively modeled with information weight matrices that permit each member sequence to be rank ordered according to its respective individual information contents. These rankings can be used to compute the strengths of nucleic acid recognition sites by proteins and to predict the effects of nucleotide substitutions in the sequences of these sites. The distribution of information across a set of protein binding sites in DNA is related to the pattern of intermolecular contacts that stabilize the protein-nucleic acid complex (i.e. the corresponding helical structure of double stranded DNA). Information theory has also made significant contributions in neuroscience and ecology.

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