Computation in bioinformatics : multidisciplinary applications /

COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promisin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Balamurugan, S., Prof (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2021.
Colección:Artificial intelligence and soft computing for industrial transformation.
Temas:
Bioinformatics.
Computational Biology
Bio-informatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 0 0 |a Computation in bioinformatics :  |b multidisciplinary applications /  |c edited by S. Balamurugan [and more]. 
264 1 |a Hoboken, NJ :  |b Wiley ;  |a Beverly, MA :  |b Scrivener Publishing,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Artificial intelligence and soft computing for industrial transformation 
505 0 |a Front Matter -- Bioinfomatics as a Tool in Drug Designing / Rene Barbie Browne, Shiny C Thomas, Jayanti Datta Roy -- New Strategies in Drug Discovery / Vivek Chavda, Yogita Thalkari, Swati Marwadi -- Role of Bioinformatics in Early Drug Discovery: An Overview and Perspective / Shasank S Swain, Tahziba Hussain -- Role of Data Mining in Bioinformatics / Vivek P Chavda, Amit Sorathiya, Disha Valu, Swati Marwadi -- In Silico Protein Design and Virtual Screening / Vivek P Chavda, Zeel Patel, Yashti Parmar, Disha Chavda -- New Bioinformatics Platform-Based Approach for Drug Design / Vivek Chavda, Soham Sheta, Divyesh Changani, Disha Chavda -- Bioinformatics and Its Application Areas / Ragini Bhardwaj, Mohit Sharma, Nikhil Agrawal -- DNA Microarray Analysis: From Affymetrix CEL Files to Comparative Gene Expression / Sandeep Kumar, Shruti Shandilya, Suman Kapila, Mohit Sharma, Nikhil Agrawal -- Machine Learning in Bioinformatics / Rahul Yadav, Mohit Sharma, Nikhil Agrawal -- DNA-RNA Barcoding and Gene Sequencing / Gifty Sawhney, Mohit Sharma, Nikhil Agarwal -- Bioinformatics in Cancer Detection / Mohit Sharma, Umme Abiha, Parul Chugh, Balakumar Chandrasekaran, Nikhil Agrawal -- Genomic Association of Polycystic Ovarian Syndrome: Single-Nucleotide Polymorphisms and Their Role in Disease Progression / Subbaraj Gowtham Kumar, Varghese Sindhu -- An Insight of Protein Structure Predictions Using Homology Modeling / S Muthumanickam, P Boomi, R Subashkumar, S Palanisamy, A Sudha, K Anand, C Balakumar, M Saravanan, G Poorani, Yao Wang, K Vijayakumar, M Syed Ali -- Basic Concepts in Proteomics and Applications / Jesudass Joseph Sahayarayan, AS Enogochitra, Murugesan Chandrasekaran -- Prospects of Covalent Approaches in Drug Discovery: An Overview / Balajee Ramachandran, Saravanan Muthupandian, Jeyakanthan Jeyaraman -- Index -- Also of Interest 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed October 15, 2021). 
520 |a COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Bioinformatics. 
650 2 |a Computational Biology 
650 6 |a Bio-informatique. 
650 7 |a Bioinformatics.  |2 fast  |0 (OCoLC)fst00832181 
700 1 |a Balamurugan, S.,  |c Prof.,  |e editor. 
830 0 |a Artificial intelligence and soft computing for industrial transformation. 
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