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Bioinformatics
Methods and Applications

Inglese · Tascabile

Spedizione di solito entro 1 a 3 settimane

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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.


Info autore

Dr. Dev Bukhsh Singh is currently an Assistant Professor in the Department of Biotechnology at Siddharth University, Kapilvastu, Siddharth Nagar, India since 2021. He also served as Assistant Professor in the Department of Biotechnology at Chhatrapati Shahu Ji Maharaj University, Kanpur, India from 2009-2021. He received BSc (Biology) and MSc from the University of Allahabad, an MTech from the Indian Institute of Information Technology, Prayagraj India, and a PhD in Biotechnology from Gautam Buddha University, India. He has been actively involved in teaching BSc and MSc Biotechnology students since 2009. His areas of research are medicinal biology, lead compound search, and drug design. He published three edited books: Frontiers in Protein Structure, Function, and Dynamics Computer-Aided Drug Design and Bioinformatics: Methods and Applications. He is a member of various national and international academic bodies and is a reviewer for several international journals.Rajesh Kumar Pathak completed his BSc from Barkatullah University, Bhopal, MSc from Chhatrapati Shahu Ji Maharaj University, Kanpur, and PhD from Uttarakhand Technical University, Dehradun, India. He has authored several articles in international journals including, Scientific Reports, Computational Biology and Chemistry, OMICS: A Journal of Integrative Biology, Frontiers in Plant Science, 3 Biotech, Journal of Biomolecular Structure and Dynamics, etc. His research interests lie in the areas of the genome and transcriptome assembly and annotation, microarray data analysis, pathway modeling, and network analysis, molecular docking, virtual screening, and molecular dynamics simulation. He has worked as a Teaching Personnel at G. B. Pant University of Agriculture & Technology, Pantnagar, India, and Teaching Assistant at the School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.

Dettagli sul prodotto

Con la collaborazione di Dev Bukhsh Singh (Editore), Rajesh Kumar Pathak (Editore), Dev Bukhsh (Assistant Professor Singh (Editore), Rajesh Kumar (Teaching Assistant Pathak (Editore), Dev Bukhsh (Assistant Professor at Department of Biotechnology Singh (Editore), Rajesh Kumar (Research Associate Singh (Editore), Rajesh Kumar (Post-Doctoral Researcher at Chung-Ang University Pathak (Editore), Dev Bukhsh (Assistant Professor at the Department of Biotechnology Singh (Editore), Dev Bukhsh Singh (Editore), Rajesh Kumar Pathak (Editore)
Autori Dev Bukhsh (Assistant Professor Singh, Dev Bukhsh (Assistant Professor At Departme Singh, Dev Bukhsh (Assistant Professor At the Depa Singh
Editore ELSEVIER SCIENCE BV
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 30.09.2021
Categoria Scienze sociali, diritto, economia > Economia > Singoli rami economici, branche
Scienze naturali, medicina, informatica, tecnica > Medicina > Tematiche generali
 
EAN 9780323897754
ISBN 978-0-323-89775-4
Numero di pagine 510
 
Categorie Big Data, machine learning, Data Mining, Algorithms, Deep Learning, Evolution, DNA, Genome, Database, Classification, MEDICAL / Biotechnology, bioinformatics, biotechnology, Personal & public health, Homology, health care, data integration, Annotation, Biological data, data analysis, Maximum likelihood, mass spectrometry, Systems Biology, Metabolomics, Graph Theory, computational biology, Pre-clinical medicine: basic sciences, Genomics, Biotechnology Industries, drug discovery, Drug Design, microarray, BLAST, NCBI, Assembly, Molecular Docking, descriptors, health data, metabolic modeling, Next-Generation Sequencing, feature selection, Biological databases, Molecular Dynamics Simulation, drug repositioning, Gene Ontology, in silico, Dataset, Drug Repurposing, Metagenomic, Motif, biological pathways, Docking, ab initio, Network Biology, RNA sequencing, Protein analysis, NGS, Lead optimization, drug target, Copy number variants, genome annotation, Clade, Biological database, ADMET, global alignment, local alignment, microbial taxonomy, Functional Assignment, constraint-based analysis, Binding Site, eQTL, CADD, Gene prediction, genome assembly, Function prediction, Allele-specific expression, Drug Designing, Gene regulatory network, Binding-free energy, computational technology, Differential gene expression, B-cell epitope, LBDD, In silico biology, biological network, Cytoscape, Flux balance analysis, Bayesian phylogeny, 3D structure assessment, BLOSUM, KEGG, Metabolic reconstruction, High-throughput experiments, contigs, Data quality check, Mining tools, 13C metabolic flux analysis, cDNA library, Computational drug designing, Enrichment analysis, COPASI, Cell designer, Ab initio folding, Multiple sequence alignment, Lead molecules, Metabolic Network, MM-PBSA, Comparative modeling, EMBL, Gene coexpression network, Multiple-nucleotide polymorphisms
 

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