バイオインフォマティクスと計算生物学百科事典(第2版・巻数未定)<br>Encyclopedia of Bioinformatics and Computational Biology (2ND)

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バイオインフォマティクスと計算生物学百科事典(第2版・巻数未定)
Encyclopedia of Bioinformatics and Computational Biology (2ND)

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  • ページ数 3700 p.
  • 言語 ENG
  • 商品コード 9780323955027
  • DDC分類 570.285

Full Description

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, translational medicine 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 as mathematics and statistics. New areas are emerging, and relatively isolated fields are becoming current hot research areas in BCB, such as Artificial Intelligence, 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 help us better prepare for such future events.

This Encyclopedia comprises three sections, covering Methods, Topics, and Applications. The methodologies and algorithms underpinning BCB are described in the Methods 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 definitions of terminology and lucid explanations by field experts.

Contents

I. Methods

Algorithms
Biological data models
Computational models and languages for bioinformatics
Artificial Intelligence and Machine Learning
Deep Learning
Data Mining
Biological Networks
Biostatistics
Integrative Bioinformatics
Ontology
Pathways
Text Mining
Natural Language Processing
Epidemiology and Pandemic surveillance
Bioimage Analytics

II. Topics

Cheminformatics
Disease Informatics
Environmental (Biome) Informatics
Functional Genomics
Genome Informatics
Immunoinformatics and Vaccinology
Molecular Phylogeny
Proteome Informatics
Structural Bioinformatics
Systems and Synthetic Biology
Translational Bioinformatics
Bioimage Informatics
Interactomics
Epidemiology

III. Applications

Biome mapping and ecological modelling
Database Searching
Drug Design
Sequence Analysis
Structure Analysis
Genome Analysis
Genome-Wise Association Studies (GWAS)
Epigenomic Analysis
Transcriptome Analysis
Proteome Analysis
Interactome Analysis
Phylogenetic Analysis
Vaccine Design
Epitope Analysis
Bioinformatics pipelines and workflows
Metabolomics analysis
Biomolecular engineering
Biomarker discovery
Network analysis

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