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Bioinformatics : = methods and appli...

Singh, Dev Bukhsh.

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Bioinformatics : = methods and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bioinformatics :/ edited by Dev Bukhsh Singh, Rajesh Kumar Pathak.
其他題名:	methods and applications /
其他作者:	Singh, Dev Bukhsh.
出版者:	London :Academic Press, : c2022.,
面頁冊數:	xxi, 488 p. :ill. (some col.) ;28 cm.
內容註:	Introduction to Basics of Bioinformatics -- Biological Databases and their Applications -- Biological Sequence Analysis -- Genome Assembly and Annotation -- Computational Molecular Phylogeny: Concepts and Applications -- Applications and Challenges of Microarray and RNA-sequencing -- RNAseq Data Analysis -- Analysis of SSR and SNP Markers -- Gene Ontology (GO): Application and Importance in Functional Annotation of the Genomic Data -- Metagenomics: The Boon for Microbial World Knowledge and Current Challenges -- Protein Structure Prediction -- Structural and Functional Analysis of Protein Computational Approaches in Drug Designing -- Structure-Based Drug Designing -- Ligand-Based Drug Designing -- Discovery and Optimization of Lead Molecules in Drug Designing -- Pharmacophore Modeling and Its Applications -- Molecular Docking and Molecular Dynamics Simulation -- Pharmacokinetics and Pharmacodynamics Analysis of Drug Candidates -- Computational Approaches for Vaccine Designing -- Metabolomics and Flux Balance Analysis -- Topological Parameters, Patterns, and Motifs in Biological Networks -- Network Biology and its Application -- Pathway Modeling and Simulation Analysis -- Systems Biology and Big Data Analytics -- Machine Leaning in Bioinformatics -- Bioinformatics and Biological Data Mining.
標題:	Bioinformatics. -
ISBN:	9780323897754

Bioinformatics : = methods and applications /
Bioinformatics :methods and applications /edited by Dev Bukhsh Singh, Rajesh Kumar Pathak. - London :Academic Press,c2022. - xxi, 488 p. :ill. (some col.) ;28 cm.

Includes bibliographical references and index.

Introduction to Basics of Bioinformatics -- Biological Databases and their Applications -- Biological Sequence Analysis -- Genome Assembly and Annotation -- Computational Molecular Phylogeny: Concepts and Applications -- Applications and Challenges of Microarray and RNA-sequencing -- RNAseq Data Analysis -- Analysis of SSR and SNP Markers -- Gene Ontology (GO): Application and Importance in Functional Annotation of the Genomic Data -- Metagenomics: The Boon for Microbial World Knowledge and Current Challenges -- Protein Structure Prediction -- Structural and Functional Analysis of Protein Computational Approaches in Drug Designing -- Structure-Based Drug Designing -- Ligand-Based Drug Designing -- Discovery and Optimization of Lead Molecules in Drug Designing -- Pharmacophore Modeling and Its Applications -- Molecular Docking and Molecular Dynamics Simulation -- Pharmacokinetics and Pharmacodynamics Analysis of Drug Candidates -- Computational Approaches for Vaccine Designing -- Metabolomics and Flux Balance Analysis -- Topological Parameters, Patterns, and Motifs in Biological Networks -- Network Biology and its Application -- Pathway Modeling and Simulation Analysis -- Systems Biology and Big Data Analytics -- Machine Leaning in Bioinformatics -- Bioinformatics and Biological Data Mining.

Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics. It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.

ISBN: 9780323897754US150.00Subjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2 / .B554 2022

Dewey Class. No.: 570.285

Bioinformatics : = methods and applications /
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505 0 # $a Introduction to Basics of Bioinformatics -- Biological Databases and their Applications -- Biological Sequence Analysis -- Genome Assembly and Annotation -- Computational Molecular Phylogeny: Concepts and Applications -- Applications and Challenges of Microarray and RNA-sequencing -- RNAseq Data Analysis -- Analysis of SSR and SNP Markers -- Gene Ontology (GO): Application and Importance in Functional Annotation of the Genomic Data -- Metagenomics: The Boon for Microbial World Knowledge and Current Challenges -- Protein Structure Prediction -- Structural and Functional Analysis of Protein Computational Approaches in Drug Designing -- Structure-Based Drug Designing -- Ligand-Based Drug Designing -- Discovery and Optimization of Lead Molecules in Drug Designing -- Pharmacophore Modeling and Its Applications -- Molecular Docking and Molecular Dynamics Simulation -- Pharmacokinetics and Pharmacodynamics Analysis of Drug Candidates -- Computational Approaches for Vaccine Designing -- Metabolomics and Flux Balance Analysis -- Topological Parameters, Patterns, and Motifs in Biological Networks -- Network Biology and its Application -- Pathway Modeling and Simulation Analysis -- Systems Biology and Big Data Analytics -- Machine Leaning in Bioinformatics -- Bioinformatics and Biological Data Mining.
520 # $a Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics. It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.
650 # 0 $a Bioinformatics. $3 553671
650 # 2 $a Computational Biology. $3 736565
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700 1 # $a Singh, Dev Bukhsh. $3 3526472
700 1 # $a Pathak, Rajesh Kumar. $3 3565833