Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	März 2012
Genre:	EDV / Informatik
	B / bioinformatics / Cell Biology / Cellular biology (cytology) / Computational and Systems Biology / Computational Biology/Bioinformatics / computer science / Computers / Information technology# general issues / Life sciences# general issues / Mathematical theory of computation / Nanotechnology / Theory of Computation
ISBN:	9783642260155
EAN-Code:	9783642260155
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	Natural Computing Series
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1151 gr
Seiten:	742
Illustration:	XX, 742 p. 247 illus., 109 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.