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Combinatorial Computational Biology of RNA - Pseudoknots and Neutral Networks (Paperback, 2011 ed.)
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Combinatorial Computational Biology of RNA - Pseudoknots and Neutral Networks (Paperback, 2011 ed.)
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In this monograph, new combinatorial and computational approaches
in the study of RNA structures are presented which enhance both
mathematics and computational biology. It begins with an
introductory chapter, which motivates and sets the background of
this research. In the following chapter, all the concepts are
systematically developed. The reader will find * integration of
more than forty research papers covering topics like,
RSK-algorithm, reflection principle, singularity analysis and
random graph theory * systematic presentation of the theory of
pseudo-knotted RNA structures including their generating function,
uniform generation as well as central and discrete limit theorems *
computational biology of pseudo-knotted RNA structures, including
dynamic programming paradigms and a new folding algorithm *
analysis of neutral networks of pseudo knotted RNA structures and
their random graph theory, including neutral paths, giant
components and connectivity All algorithms presented are freely
available through springer.com and implemented in C. A proofs
section at the end contains the necessary technicalities. This book
will serve graduate students and researchers in the fields of
discrete mathematics, mathematical and computational biology. It is
suitable as a textbook for a graduate course in mathematical and
computational biology.
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