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It addresses bioinformatics information infrastructure, including GENBANK and other Web-based resources, and discusses managing very large biological databases.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},327061,1790853493,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},1099514068365,"https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?x-image-process=image/resize,m_fixed,w_180,h_180&k=1794309523707217728","• Table of Contents  \n•  Index  \nBioinformatics Computing  \nBy Bryan Bergeron  \nPublisher: Prentice Hall PTR  \nPub Date: November 19, 2002  \nISBN: 0-13-100825-0  \nPages: 439  \nSlots: 1  \nIn Bioinformatics Computing, Harvard Medical School and MIT faculty member Bryan Bergeron presents a comprehensive and practical guide to bioinformatics for life scientists at every level of training and practice. After an up-to-the-minute overview of the entire field, he illuminates every key bioinformatics technology, offering practical insights into the full range of bioinformatics applicationsboth new and emerging. Coverage includes:  \n● Technologies that enable researchers to collaborate more effectively  \n● Fundamental concepts, state-of-the-art tools, and \"on the horizon\" advances  \n● Bioinformatics information infrastructure, including GENBANK and other Web-based resources  \n● Very large biological databases: object-oriented database methods, data mining/warehousing, knowledge management, and more  \n● 3D visualization: exploring the inner workings of complex biological structures  \n● Advanced pattern matching techniques, including microarray research and gene prediction  \n● Event-driven, time-driven, and hybrid simulation techniques  \nBioinformatics Computing combines practical insight for assessing bioinformatics technologies, practical guidance for using them effectively, and intelligent context for understanding their rapidly evolving roles.  \n• Table of Contents  \n•  Index  \nBioinformatics Computing  \nBy Bryan Bergeron  \nPublisher: Prentice Hall PTR  \nPub Date: November 19, 2002  \nISBN: 0-13-100825-0  \nPages: 439  \nSlots: 1  \nCopyright  \nAbout Prentice Hall Professional Technical Reference Preface  \nOrganization of This Book  \nHow to Use This Book  \nThe Larger Context  \nAcknowledgments  \nChapter 1. The Central Dogma  \nThe Killer Application  \nParallel Universes  \nWatson's Definition  \nTop-Down Versus Bottom-Up  \nInformation Flow  \nConvergence  \nEndnote  \nChapter 2. Databases  \nDefinitions  \nData Management  \nData Life Cycle  \nDatabase Technology  \nInterfaces  \nImplementation  \nEndnote  \nChapter 3. Networks  \nGeographical Scope  \nCommunications Models  \nTransmissions Technology  \nProtocols  \nBandwidth  \nTopology  \nHardware  \nContents  \nSecurity  \nOwnership  \nImplementation  \nManagement  \nOn the Horizon  \nEndnote  \nChapter 4. Search Engines  \nThe Search Process  \nSearch Engine Technology  \nSearching and Information Theory  \nComputational Methods  \nSearch Engines and Knowledge Management  \nOn the Horizon  \nEndnote  \nChapter 5. Data Visualization  \nSequence Visualization  \nStructure Visualization  \nUser Interface  \nAnimation Versus Simulation  \nGeneral-Purpose Technologies  \nOn the Horizon  \nEndnote  \nChapter 6. Statistics  \nStatistical Concepts  \nMicroarrays  \nImperfect Data  \nBasics  \nQuantifying Randomness  \nData Analysis  \nTool Selection  \nStatistics of Alignment  \nClustering and Classification  \nOn the Horizon  \nEndnote  \nChapter 7. Data Mining  \nMethods  \nTechnology Overview  \nInfrastructure  \nPattern Recognition and Discovery  \nMachine Learning  \nText Mining  \nTools  \nOn the Horizon  \nEndnote  \nChapter 8. Pattern Matching  \nFundamentals  \nDot Matrix Analysis  \nSubstitution Matrices  \nDynamic Programming  \nWord Methods  \nBayesian Methods  \nMultiple Sequence Alignment  \nTools  \nOn the Horizon  \nEndnote  \nChapter 9. Modeling and Simulation  \nDrug Discovery  \nFundamentals  \nProtein Structure  \nSystems Biology  \nTools  \nOn the Horizon  \nEndnote  \nChapter 10. Collaboration  \nCollaboration and Communications  \nStandards  \nIssues  \nOn the Horizon  \nEndnote  \nBibliography  \nChapter One—The Central Dogma  \nChapter Two—Databases  \nChapter Three—Networks  \nChapter Four—Search Engines  \nChapter Five—Data Visualization  \nChapter Six—Statistics  \nChapter Seven—Data Mining  \nChapter Eight—Pattern Matching  \nChapter Nine—Modeling and Simulation  \nChapter Ten—Collaboration  \nIndex  \nCopyright  \nLibrary of Congress Cataloging-in-Publication Data  ","cbCaib2cWTqRZf3e","https://ap.wps.com/l/cbCaib2cWTqRZf3e","pdf",5456030,395,"English","# Organization of This Book\n## How to Use This Book\n## The Larger Context\n# Chapter 1. The Central Dogma\n# Chapter 2. Databases\n# Chapter 3. Networks\n# Chapter 4. Search Engines\n# Chapter 5. Data Visualization\n# Chapter 6. Statistics\n# Chapter 7. Data Mining\n# Chapter 8. Pattern Matching\n# Chapter 9. Modeling and Simulation\n# Chapter 10. Collaboration\n# Bibliography\n# Index","[{\"question\":\"Who is Bioinformatics Computing intended for?\",\"answer\":\"It targets life scientists at every level of training and practice, from learning foundations to applying advanced techniques.\"},{\"question\":\"What topics are covered in the book?\",\"answer\":\"It covers key bioinformatics technologies including databases, networks, search engines, data visualization, statistics, data mining, pattern matching, and modeling and simulation, plus collaboration.\"},{\"question\":\"Does the book include resources and infrastructure for bioinformatics?\",\"answer\":\"Yes. It addresses bioinformatics information infrastructure, including GENBANK and other Web-based resources, and discusses managing very large biological databases.\"}]","Bioinformatics Computing - A practical guide to bioinformatics technologies | PDF",1789976145,995]