{"product_id":"9781394362295","title":"Bioinformatics for Engineers: The Overlap of Nature and Machines","description":"\u003ch1\u003eBioinformatics for Engineers: The Overlap of Nature and Machines\u003c\/h1\u003e \u003ch2\u003eGagniuc, Paul A.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDiscover how nature's billion-year solutions \u003c\/b\u003e\u003cb\u003eare reflected in our computational systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBioinformatics for Engineers: The Overlap of Nature and Machines\u003c\/i\u003e is not a book about copying nature into machines. It is a book about understanding biology through the language of computation.  \u003c\/p\u003e\u003cp\u003eModern biology operates on systems of overwhelming complexity: genomes, regulatory networks, signaling pathways, and evolutionary dynamics. For engineers and computer scientists, these systems often remain opaque because they are presented using purely biological terminology. This book reverses that barrier by explaining biological mechanisms through precise analogies to engineered computational systems. Paul A. Gagniuc shows how core biological structures and processes can be understood using familiar technological concepts: genes as information units, chromosomes as structured storage systems, replication as algorithmic duplication, and regulatory networks as distributed control architectures. Rather than abstract metaphors, the book provides structural correspondences that allow engineers to reason about biology with the same rigor they apply to software and hardware systems. \u003c\/p\u003e\u003cp\u003eThe book demonstrates how error correction, redundancy, parallel processing, and resource optimization emerge naturally in biological systems, and how these mechanisms can be analyzed using formal computational thinking. Evolutionary processes are presented not as inspiration for engineering, but as large-scale optimization processes that can be examined with algorithmic clarity. \u003c\/p\u003e\u003cp\u003eIn this book, readers will: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUnderstand biological error correction, replication, and regulation using computational models and system-level abstractions\u003c\/li\u003e \u003cli\u003eDescribe cellular organization and processes using operating system–level architectural principles.\u003c\/li\u003e \u003cli\u003eInterpret biological mechanisms by using formal concepts from computer science and systems engineering\u003c\/li\u003e \u003cli\u003eUse computational analogies to build an accurate mental model of complex biological phenomena\u003c\/li\u003e \u003cli\u003eBridge the conceptual gap between biology and technology.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBioinformatics for Engineers\u003c\/i\u003e is written for engineers, computer scientists, and technically trained researchers who seek a rigorous, non-romantic, and structurally precise understanding of biological systems, using the intellectual tools they already master.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Wiley-IEEE Press\u003c\/p\u003e \u003cp\u003ePublication Date: 2027-06-01\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9781394362295\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: cm xcm\u003c\/p\u003e \u003cp\u003ePages: 384\u003c\/p\u003e ","brand":"Wiley","offers":[{"title":"Default Title","offer_id":46182464684172,"sku":"9781394362295","price":135.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394362295","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}