Encyclopedia of Bioinformatics and Computational Biology

Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the methodology and in silico solutions to mine biological data and processes, for knowledge discovery. In the era of molecular diagnostics, targeted drug design and Big Data for personalized medicine, computational methods for data analysis are essential tools for biochemistry, biology, biotechnology, pharmacology, biomedical and computer science, as well mathematics and statistics. New areas are emerging, and relatively isolated fields are becoming current hot research areas in BCB, such as Quantitative Biology, Computational Vaccinology, Epidemiology and Infection Diffusion, Synthetic Biology and Phenomics. The role of BCB in characterizing SARS-CoV-2 variants and facing the COVID-19 pandemic is just one example of how these tools can find us better prepared for such future events. This Encyclopedia comprises three sections, covering Theory, Topics and Applications. The theoretical methodology underpinning BCB are described in the Theory section; Topics covers traditional areas such as phylogeny, as well as more recent areas such as translational bioinformatics, cheminformatics and environmental informatics; Applications provides guidance for commonly asked how to questions. ???????Navigating the maze of confusing jargon and the plethora of software tools is often confronting for students and researchers alike. This comprehensive and unique resource provides up-to-date theory and application content to address molecular data analysis requirements, with precise definition of terminology, and lucid explanations by field experts. Revised and expanded, this new edition spans basics to cutting-edge methodologies, with chapters authored by leaders in the fieldServes an audience with diverse backgrounds, combining elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes for knowledge discoveryProvides succinct definition of terms, possibly for the first time in some cases, an invaluable tool to navigate the complexity of the fieldNew topics includes areas such as Quantitative Biology, Computational Vaccinology, Epidemiology and Infection Diffusion, Synthetic Biology and PhenomicsFocused chapters highlight the knowledge and tools developed in response to the Covid 19 pandemic INDICE: The new edition comprises the same three sections as the first edition, namely Methods, Topics and Applications, albeit thoroughly updated and enhanced.I. Methods1.Algorithms2.Artificial Intelligence and Machine Learning3.Biological Networks4.Biostatistics5.Data Mining and Integration (integrative Bioinformatics)6.Ontology7.Pathways8.Text Mining9.Epidemiology and Pandemic surveillance10.Bioimage AnalyticsII. Topics1.Cheminformatics2.Disease Informatics3.Environmental (Biome) Informatics4.Functional Genomics5.Genome Informatics6.Immunoinformatics and Vaccinology7.Molecular Phylogeny8.Proteome Informatics9.Structural Bioinformatics10.Systems and Synthetic Biology11.Translational Bioinformatics12.Bioimage Informatics13.Interactomics14.EpidemiologyIII. Applications1.Bioimage Analysis2.Biome mapping and ecological modelling3.Database Searching4.Drug Design5.Sequence Analysis6.Predicting RNA structure7.Protein Structure Prediction8.Genome Analysis9.Genome Editing10.Genome-Wise Association Studies (GWAS)11.Epigenomic Analysis12.Transcriptome Analysis13.Phenome Analysis14.Proteome Analysis15.Interactome Analysis16.Phylogenetic Analysis17.Vaccine Design18.Infection Diffusion and Public HealthCompared to the 1st edition, the new edition includes 20-25% new content. About 10% of the existing chapters are deleted, and each of the three sections includes ~25 new chapters.The three Editors in Chief will also perform the role of Section Editors; all submitted content will be reviewed by the three Editors.Shoba Rangananthan was one of the EiCs of the previous Edition; Mario Cannataro was Section Editor for Methods and Asif Khan for Applications.

• ISBN: 978-0-323-95502-7
• Editorial: Elsevier
• Encuadernacion: Cartoné
• Páginas: 3700
• Fecha Publicación: 16/01/2025
• Nº Volúmenes: 1
• Idioma: Inglés