{"product_id":"emerging-trends-in-computational-biology-bioinformatics-and-systems-biology-algorithms-and-software-tools-paperback-9780128025086","title":"Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology; Algorithms and Software Tools (Paperback) 9780128025086","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEmerging Trends in Computational Biology, Bioinformatics, and Systems Biology\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eAlgorithms and Software Tools\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003e\u003cp\u003eAn overview of computational biology, bioinformatics and system biology from a computer science perspective, emphasizing Big Data using a data-analytical driven approach\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eHamid R Arabnia (Author), Quoc Nam Tran (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128025086\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 11 August 2015\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e670 pages\u003cbr\u003e23.4 x 19 x 4.1 cm, 1.38 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"This is a valuable resource for students, clinicians, and researchers who wish to keep abreast of the emerging trends in computational biology, bioinformatics, and systems biology.  Score: 76 - 3 Stars\" --\u003cb\u003eDoody's\u003c\/b\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eEmerging Trends in Computational Biology, Bioinformatics, and Systems Biology\u003c\/i\u003e discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques.\u003c\/p\u003e  \u003cp\u003e• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets.\u003c\/p\u003e  \u003cp\u003e• Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA\/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis.\u003c\/p\u003e  \u003cp\u003e• Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics\/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research.\u003c\/p\u003e  \u003cp\u003e• Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eCHAPTER 1 Supervised Learning with the Artificial Neural Networks Algorithm for Modeling Immune Cell Differentiation\u003c\/p\u003e \u003cp\u003eCHAPTER 2 Accelerating Techniques for Particle Filter\u003c\/p\u003e \u003cp\u003eImplementations on FPGA\u003c\/p\u003e \u003cp\u003eCHAPTER 3 Biological Study on Pulsatile Flow of Herschel-Bulkley Fluid in Tapered Blood Vessels\u003c\/p\u003e \u003cp\u003eCHAPTER 4 Hierarchical k-Means: A Hybrid Clustering Algorithm and its Application to Study Gene Expression in Lung Adenocarcinoma\u003c\/p\u003e \u003cp\u003eCHAPTER 5 Molecular Classification of N-Aryloxazolidinone-5- carboxamides as Human Immunodeficiency Virus Protease Inhibitors\u003c\/p\u003e \u003cp\u003eCHAPTER 6 Review of Recent Protein-Protein Interaction Techniques\u003c\/p\u003e \u003cp\u003eCHAPTER 7 Genetic Regulatory Networks: Focus on Attractors Of Their Dynamics\u003c\/p\u003e \u003cp\u003eCHAPTER 8 Biomechanical Evaluation for Bone Allograft in Treating the Femoral Head Necrosis: Thorough Debridement or Not?\u003c\/p\u003e \u003cp\u003eCHAPTER 9 Diels-Alderase Catalyzing the Cyclization Step In the Biosynthesis of Spinosyn A: Reality or Fantasy?\u003c\/p\u003e \u003cp\u003eCHAPTER 10 CLAST: Clustering Biological Sequences\u003c\/p\u003e \u003cp\u003eCHAPTER 11 Computational Platform for Integration and Analysis of MicroRNA Annotation\u003c\/p\u003e \u003cp\u003eCHAPTER 12 Feature Selection and Analysis of Gene Expression Data Using Low-Dimensional Linear Programming\u003c\/p\u003e \u003cp\u003eCHAPTER 13 The Big ORF Theory: Algorithmic, Computational, and Approximation Approaches to Open Reading Frames in Short- and Medium-Length dsDNA Sequences\u003c\/p\u003e \u003cp\u003eCHAPTER 14 Intentionally Linked Entities: A Detailed Look At a Database System for Health Care Informatics\u003c\/p\u003e \u003cp\u003eCHAPTER 15 Region Growing in Nonpictorial Data for Organ-Specific Toxicity Prediction\u003c\/p\u003e \u003cp\u003eCHAPTER 16 Contribution of Noise Reduction Algorithms: Perception Versus Localization Simulation in the Case of Binaural Cochlear Implant (BCI) Coding\u003c\/p\u003e \u003cp\u003eCHAPTER 17 Lowering the Fall Rate of the Elderly From Wheelchairs\u003c\/p\u003e \u003cp\u003eCHAPTER 18 Occipital and Left Temporal EEG Correlates of Phenomenal Consciousness\u003c\/p\u003e \u003cp\u003eCHAPTER 19 Chaotic Dynamical States in the Izhikevich Neuron Model\u003c\/p\u003e \u003cp\u003eCHAPTER 20 Analogy, Mind, and Life\u003c\/p\u003e \u003cp\u003eCHAPTER 21 Copy Number Networks to Guide Combinatorial Therapy of Cancer and Proliferative Disorders\u003c\/p\u003e \u003cp\u003eCHAPTER 22 DNA Double-Strand Break–Based Nonmonotonic Logic\u003c\/p\u003e \u003cp\u003eCHAPTER 23 An Updated Covariance Model for Rapid Annotation of Noncoding RNA\u003c\/p\u003e \u003cp\u003eCHAPTER 24 SMIR: A Web Server to Predict Residues Involved in the Protein Folding Core\u003c\/p\u003e \u003cp\u003eCHAPTER 25 Predicting Extinction of Biological Systems with Competition\u003c\/p\u003e \u003cp\u003eCHAPTER 26 Methodologies for the Diagnosis of the Main Behavioral Syndromes for Parkinson’s Disease with Bayesian Belief Networks\u003c\/p\u003e \u003cp\u003eCHAPTER 27 Practical Considerations in Virtual Screening and Molecular Docking\u003c\/p\u003e \u003cp\u003eCHAPTER 28 Knowledge Discovery in Proteomic Mass Spectrometry Data\u003c\/p\u003e \u003cp\u003eCHAPTER 29 A Comparative Analysis of Read Mapping and Indel Calling Pipelines for Next-Generation Sequencing Data\u003c\/p\u003e \u003cp\u003eCHAPTER 30 Two-Stage Evolutionary Quantification of In Vivo MRS Metabolites\u003c\/p\u003e \u003cp\u003eCHAPTER 31 Keratoconus Disease and Three-Dimensional Simulation of the Cornea Throughout the Process of Cross-Linking Treatment\u003c\/p\u003e \u003cp\u003eCHAPTER 32 Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data Analytics\u003c\/p\u003e \u003cp\u003eCHAPTER 33 A Codon Frequency Obfuscation Heuristic for Raw Genomic Data Privacy\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Enterprise software [\u003ca title=\"See our other books on Enterprise software\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Enterprise%20software%20%5BUFL%5D%22\"\u003eUFL\u003c\/a\u003e], Medical bioinformatics [\u003ca title=\"See our other books on Medical bioinformatics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Medical%20bioinformatics%20%5BMBF%5D%22\"\u003eMBF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649591365912,"sku":"9780128025086","price":67.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128025086.jpg?v=1694102061","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/emerging-trends-in-computational-biology-bioinformatics-and-systems-biology-algorithms-and-software-tools-paperback-9780128025086","provider":"Freshly Printed Books","version":"1.0","type":"link"}