Algorithmic Bioprocesses (natural Computing Series)
by Arto Salomaa /
2009 / English / PDF
13.1 MB Download
A fundamental understanding of algorithmic bioprocesses is key to
learning how information processing occurs in nature at the cell
level. The field is concerned with the interactions between
computer science on the one hand and biology, chemistry, and
DNA-oriented nanoscience on the other. In particular, this book
offers a comprehensive overview of research into algorithmic
self-assembly, RNA folding, the algorithmic foundations for
biochemical reactions, and the algorithmic nature of developmental
processes. The editors of the book invited 36 chapters, written by
the leading researchers in this area, and their contributions
include detailed tutorials on the main topics, surveys of the state
of the art in research, experimental results, and discussions of
specific research goals. The main subjects addressed are sequence
discovery, generation, and analysis; nanoconstructions and
self-assembly; membrane computing; formal models and analysis;
process calculi and automata; biochemical reactions; and other
topics from natural computing, including molecular evolution,
regulation of gene expression, light-based computing, cellular
automata, realistic modelling of biological systems, and
evolutionary computing. This subject is inherently
interdisciplinary, and this book will be of value to researchers in
computer science and biology who study the impact of the exciting
mutual interaction between our understanding of bioprocesses and
our understanding of computation.
A fundamental understanding of algorithmic bioprocesses is key to
learning how information processing occurs in nature at the cell
level. The field is concerned with the interactions between
computer science on the one hand and biology, chemistry, and
DNA-oriented nanoscience on the other. In particular, this book
offers a comprehensive overview of research into algorithmic
self-assembly, RNA folding, the algorithmic foundations for
biochemical reactions, and the algorithmic nature of developmental
processes. The editors of the book invited 36 chapters, written by
the leading researchers in this area, and their contributions
include detailed tutorials on the main topics, surveys of the state
of the art in research, experimental results, and discussions of
specific research goals. The main subjects addressed are sequence
discovery, generation, and analysis; nanoconstructions and
self-assembly; membrane computing; formal models and analysis;
process calculi and automata; biochemical reactions; and other
topics from natural computing, including molecular evolution,
regulation of gene expression, light-based computing, cellular
automata, realistic modelling of biological systems, and
evolutionary computing. This subject is inherently
interdisciplinary, and this book will be of value to researchers in
computer science and biology who study the impact of the exciting
mutual interaction between our understanding of bioprocesses and
our understanding of computation.