An authoritative overview of DNA- and RNA-based biocomputing systems that ties together advances in computer science, biotechnology, materials science and nanotechnology.
Auflage
Sprache
Verlagsort
Zielgruppe
Illustrationen
100
100 s/w Abbildungen, 100 farbige Abbildungen
Maße
Höhe: 24.4 cm
Breite: 17 cm
Dicke: 2.4 cm
Gewicht
ISBN-13
978-3-527-34720-9 (9783527347209)
Schweitzer Klassifikation
Evgeny Katz received his Ph.D. in Chemistry from Frumkin Institute of Electrochemistry (Moscow), Russian Academy of Sciences, in 1983. He was a senior researcher in the Institute of Photosynthesis (Pushchino), Russian Academy of Sciences, in 1983-1991. In 1992-1993 he performed research at München Technische Universität (Germany) as a Humboldt fellow. Later, in 1993-2006, Dr. Katz was a Research Associate Professor at the Hebrew University of Jerusalem. Since 2006 he is Milton Kerker Chaired Professor at the Department of Chemistry and Biomolecular Science, Clarkson University, NY (USA). His scientific interests are in the broad areas of bioelectronics, biosensors, biofuel cells, and biomolecular information processing.
Introduction to DNA and RNA Computing
Development and Applications of Catalytic DNA in Nanoscale Computing and Robotics
Organizing DNA Logic Gates on a 2D DNA Platform for Efficient Inter-Gate Communication
Engineering DNA Switches for DNA Computing Applications
Nanopore Decoding in DNA Computation
Spatio-Temporal Patterns with DNA/Enzyme Circuits
Versatile Logic Circuits and Innovative in Vitro/Vivo Applications
Non-traditional Luminescent Materials for Photonic Logic
Nucleic Acid Based Computing in Living Cells
Programming Molecular Circuitry and Intracellular Computing
Codes for DNA Data Storage
DNA Computing: Methodologies and Challenges
Output Signal Design in DNA Logic Circuits
Strand-Displacement in DNA-Based Nanodevices and Logic
DNA Logic Gates
DNA Circuits and Communications
Development of Logic Gate Nanodevices from Fluorogenic RNA Aptamers
Interface between Enzyme-Based and DNA-Based Computing
DNA Computing to Solve Biological Problems
DNA Computation on Molecular-Scale Databases
DNA Transformers
Conclusions: Perspectives in DNA and RNA Computing
