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.
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