LEADER 00726nam0-2200241 --450 001 9910208258803321 005 20170621103937.0 100 $a20170621d1950----kmuy0itay5050 ba 101 0 $aeng 102 $aUS 105 $a 001yy 200 1 $aSwitzerland builds$eits native and modern architecture$fG. E. Kidder Smith 210 $aNew York ; Stockholm$cAlbert Bonnier$d1950 215 $a234 p.$cill.$d29 cm 610 0 $aArchitettura$aSvizzera$aSec. 20. 700 1$aSmith,$bGeorge Everard Kidder$037345 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $ainserire formato 912 $a9910208258803321 952 $aRGT 67$b716$fDARPU 959 $aDARPU 996 $aSwitzerland builds$91469925 997 $aUNINA LEADER 03937nam 22005655 450 001 9910993871703321 005 20250411151618.0 010 $a9789819638703 010 $a9819638704 024 7 $a10.1007/978-981-96-3870-3 035 $a(CKB)38338157100041 035 $a(DE-He213)978-981-96-3870-3 035 $a(MiAaPQ)EBC32077077 035 $a(Au-PeEL)EBL32077077 035 $a(EXLCZ)9938338157100041 100 $a20250411d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiological Computing /$fby Jin Xu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XVII, 329 p. 144 illus., 110 illus. in color.) 311 08$a9789819638697 311 08$a9819638690 327 $aChapter 1 Introduction -- Chapter 2 Graphs and Computational Complexity -- Chapter 3 Biocomputing -- Data -- Chapter 4 Biological Computing Operators -- Enzymes and Biochemical Operations -- Chapter 5 DNA Coding Theory and Algorithms -- Chapter 6 Enumerative DNA Computing Model -- Chapter 7 Non-enumerative DNA Computing Model for Graph Vertex Coloring -- Chapter 8 Parallel Vertex Coloring DNA Computing Model -- Chapter 9 Probe Machine -- Chapter 10 DNA Algorithmic Self-Assembly -- Chapter 11 RNA Computing -- Chapter 12 Protein Computing. 330 $aThis open access book comprehensively introduces biocomputing, focusing on its foundational theories, experimental operations, and computational models. Biocomputing represents an innovative computational paradigm that leverages biomolecules as a carrier for processing and storing information. As a core enabler of human progress, computational tools serve as critical benchmarks of societal advancement and are key drivers of technological innovation. While electronic computers currently dominate as the primary instruments for information processing, their underlying manufacturing technologies are approaching physical and practical limits. This has prompted the search for alternative computational models and tools to meet the demands of future advancements. Over recent decades, scientists have explored various fields to develop novel computational frameworks. These efforts have led to the emergence of groundbreaking paradigms, such as artificial neural networks inspired by brain-like information processing, evolutionary computing based on genetic mechanisms, biocomputing utilizing the unique properties of biomolecules, quantum computing exploiting quantum phenomena, and optical computing leveraging the properties of light. Designed as an essential resource for readers interested in the principles and applications of biocomputing, this book establishes a foundational understanding of the subject while serving as a bridge to more advanced theoretical and practical exploration. A basic knowledge of molecular biology is recommended for readers to engage with the material fully. The translation was done using artificial intelligence. Subsequently, a human revision was done primarily in terms of content. 606 $aComputer science 606 $aComputer systems 606 $aComputers 606 $aModels of Computation 606 $aComputer System Implementation 606 $aHardware Performance and Reliability 615 0$aComputer science. 615 0$aComputer systems. 615 0$aComputers. 615 14$aModels of Computation. 615 24$aComputer System Implementation. 615 24$aHardware Performance and Reliability. 676 $a004.0151 700 $aXu$b Jin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01784601 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910993871703321 996 $aBiological Computing$94374122 997 $aUNINA