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Encyclopedia of Bioinformatics and Computational Biology

  • ID: 4482927
  • Book
  • 3284 Pages
  • Elsevier Science and Technology
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Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative -omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions.

This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries.

  • Brings together information from computer science, information technology, mathematics, statistics and biotechnology
  • Written and reviewed by leading experts in the field, providing a unique and authoritative resource
  • Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications
  • Includes interactive images, multimedia tools and crosslinking to further resources and databases
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Draft/preliminary table of contents

Sections Biological Database Searching Computational Systems Biology Applications Computational pipelines and workflows in Bioinformatics Sequence Analysis Epigenomic Analysis Genetics and Population Analysis Genome Analysis Metabolome Analysis Biomolecular Structure Prediction and Analysis Transcriptome analysis Proteomics analysis Phylogenetic analysis Genome Informatics Text mining Applications Data models, representation and storage From Topics Algorithms Artificial Intelligence and Machine Learning Search strategies Solving Problems by Informed Search Greedy search Genetic Algorithms Agents and unknown environment Constraint Satisfaction Problems Linear Programming Backtracking search Biostatistics Computing for Bioinformatics Integrative Bioinformatics Ontology Text Mining Biological Networks Pathways in Biology Simulated annealing Transcriptome informatics Computational Systems Biology Gene and Protein informatics Advanced biocomputing strategies Cheminformatics Biological databases Functional Genomics Molecular Phylogeny Metabolome Informatics Structural Bioinformatics Translational Bioinformatics Bioimage informatics

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