Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective

摘要

Investigation of the symbolic DNA sequence in terms of its structure and organization is a challenging problem. Inherent uncertainty and sequence variability makes information theoretic framework eminently suitable for applying to variety of computational biology problems. This paper highlights the properties of parametric and non-parametric entropy measures and focusses on few applications where entropic measures have been used. The link between Tsallis entropy and power-law is drawn using maximum entropy principle in capturing the well-known long-range dependence in DNA sequences.