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[null,"1.","Record Nr.",null,"UNINA9911047800003321"]
[null,null,"Autore",null,"Simonian Aleksandr"]
[null,null,"Titolo",null,"Biosensors as Analytical Tools for the 21st Century : Principles and Applications / / by Aleksandr Simonian, Mary Anitha Arugula, Paolo Bollella"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-032-01726-2"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (289 pages)"]
[null,null,"Collana",null,"Engineering Series"]
[null,null,"Disciplina",null,"610.28"]
[null,null,"Soggetti",null,"Biomedical engineering"]
[{"$nulls":4},"Materials"]
[{"$nulls":4},"Detectors"]
[{"$nulls":4},"Surface chemistry"]
[{"$nulls":4},"Analytical chemistry"]
[{"$nulls":4},"Electrochemistry"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[{"$nulls":4},"Sensors and biosensors"]
[{"$nulls":4},"Surface Chemistry"]
[{"$nulls":4},"Bioanalytical Chemistry"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Definitions and Concepts -- Bio-Recognition Elements -- Immobilization: Fundamentals and Protocols -- Novel Materials for Biosensing -- Bio-Functionalization and Surface Chemistry -- Transducers: Theory and Applications -- Biosensor Technology: Structure, Design, and Fabrication -- Milestones in Biosensor Applications -- Laboratory Protocols."]
[null,null,null,"Sommario/riassunto","This book provides a clear and contemporary understanding of the fundamental concepts, principles, and applications of biosensors. It serves as a cutting-edge resource for readers to gain both theoretical knowledge and practical skills in science and technology. Designed for researchers, students at all levels, and professionals in research and education, it offers valuable introductory material while also exploring the future prospects of the field. Written by experienced authors, the book systematically covers the principles, techniques, and applications of biosensors, addressing a gap in existing literature that often "]
[{"$nulls":4},"overlooks practical applications and results-oriented experimental protocols. It delves into current and future trends in applied techniques that are rarely found elsewhere and combines theoretical content with laboratory protocols (accompanied by videos), experimental procedures, and problem sets with solutions. Additionally, it incorporates the latest advancements in biotechnology for a practical, application-driven approach. Introduces the definitions and core concepts of biosensor technology; Compiles recent trends in advanced biosensors and the use of MEMS, Lab-on-a-Chip systems, and multiplexed detection; Provides laboratory protocols and hands-on experience with results and data."]
[null,"2.","Record Nr.",null,"UNINA9910983032203321"]
[null,null,"Autore",null,"Wünschiers Röbbe"]
[null,null,"Titolo",null,"Computational Biology : A Practical Introduction to Bio Data Juggling with Worked Examples / / by Röbbe Wünschiers"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031703140"]
[{"$nulls":4},"3031703146"]
[null,null,"Edizione",null,"[3rd ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (530 pages)"]
[null,null,"Disciplina",null,"570.285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Proteins"]
[{"$nulls":4},"Biochemistry"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Biophysics"]
[{"$nulls":4},"Computational and Systems Biology"]
[{"$nulls":4},"Protein Biochemistry"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part I: Whetting Your Appetite -- Chapter 1: Introduction -- Chapter 2: Content of this Book -- Part II: Learning and Setting Up Our Playground -- Chapter 3: The World of Linux -- Part III: Working with Linux -- Chapter 4: The First Touch -- Chapter 5: Working with Files -- Chapter 6: Remote Connections -- Chapter 7: Playing with Text and Data Files -- Chapter 8: Get More Out of the Shell -- Chapter 9: Installing BLAST+ and ClustalW -- Part IV: Processing and Programming -- Chapter 10: Shell Programming -- Chapter 11: Regular Expressions -- Chapter 12: Sed -- Chapter 13: AWK -- Chapter 14: Other Programming Languages -- Part V: Advanced Data Analysis -- Chapter 15: GitHub Repositories and Jupyter Notebooks -- Chapter 16: Relational Databases with MariaDB -- Chapter 17: The Statistics Suite R -- Part VI: Worked Examples -- Chapter 18: BLASTing Forensic PCR Primers -- Chapter 19: In Search of Differences in Proteomes -- Chapter 20: Virtual Sequencing of mtDNA -- Chapter 21: DNA Sequence Analysis of MinION Nanopore Reads -- Chapter 22: Querying for Potential Redox-Regulated Enzymes -- Chapter 23: Exploring of Early SARS-CoV2 "]
[{"$nulls":4},"Mutations. Chapter 24: Genome-Wide Association Studies (GWAS)."]
[null,null,null,"Sommario/riassunto","This extensively expanded third edition offers a practical introduction to Bio Data Science. With a hands-on approach to learning, this book offers ample opportunities to practice: - Installing and utilizing Linux as a virtual machine or remotely - Processing bio data with the programming language AWK - Managing data with the relational database system MariaDB - Analyzing and visualizing data with R - Implementing good bioinformatics practices with Jupyter Notebook and GitHub This book targets both students and professionals in the life sciences. While it is aimed at beginners, it also provides valuable tips and tricks for experienced researchers dealing with large datasets. Worked examples illustrate how to utilize various bioinformatics tools such as BLAST, Clustal, PLINK, IGV, SAMtools, BCFtools, Mason2, Minimap, NCBI Datasets, Velvet, Jmol, and more for: - Identifying bacterial proteins potentially associated with pathogenicity - Querying molecular structures for redox-regulated enzymes - Mapping and assembling real or simulated sequence reads - Identifying and mapping molecular structure mutations in viruses - Conducting genome-wide association studies All software tools and datasets mentioned are freely available, and all code is accessible as Jupyter Notebooks on GitHub. Drawing from the author's experiences and knowledge gained from both academia and industry, this book provides a practical and comprehensive approach to bioinformatics. ."]