Designed as a reference text. Presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism, and cheminformatics analysis, as well as in drug discovery and development.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Tiratha Raj Singh is a Professor of Bioinformatics in the department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, H.P. His research interests are various domains of Bioinformatics/Computational Biology, Computational Genomics and Systems Biology.
Hemraj Saini is currently works as a Professor in the Department of Computer Science & Engineering, DIET, Dehradun. Earlier he was an Associate Professor in Jaypee University of Information Technology, Waknaghat. His research areas include: Information Security, Cyber Security, Edge Computing and Cloud Computing. He has published more than 100 research papers in international and national journals and conferences.
Moacyr Comar Junior is a professor at the Institute of Chemistry of the Federal University of Uberlândia. His research interests include theoretical and physico-chemistry of macromolecules and colloids. He has published numerous journal articles.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.The book offers comprehensive coverage of the most essential and emerging topics:Cloud-based monitoring of bioinformatics multivariate data with cloud platformsMachine learning and deep learning in bioinformaticsQuantum machine learning for biological applicationsIntegrating machine learning strategies with multiomics to augment prognosis in chronic diseasesBiomedical engineeringNext generation sequencing techniques and applicationsComputational systems biology and molecular evolutionWhile other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension. Designed as a reference text. Presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism, and cheminformatics analysis, as well as in drug discovery and development. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032363035
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Paperback. Etat : new. Paperback. Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.The book offers comprehensive coverage of the most essential and emerging topics:Cloud-based monitoring of bioinformatics multivariate data with cloud platformsMachine learning and deep learning in bioinformaticsQuantum machine learning for biological applicationsIntegrating machine learning strategies with multiomics to augment prognosis in chronic diseasesBiomedical engineeringNext generation sequencing techniques and applicationsComputational systems biology and molecular evolutionWhile other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension. Designed as a reference text. Presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism, and cheminformatics analysis, as well as in drug discovery and development. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032363035
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Paperback. Etat : new. Paperback. Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.The book offers comprehensive coverage of the most essential and emerging topics:Cloud-based monitoring of bioinformatics multivariate data with cloud platformsMachine learning and deep learning in bioinformaticsQuantum machine learning for biological applicationsIntegrating machine learning strategies with multiomics to augment prognosis in chronic diseasesBiomedical engineeringNext generation sequencing techniques and applicationsComputational systems biology and molecular evolutionWhile other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension. Designed as a reference text. Presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism, and cheminformatics analysis, as well as in drug discovery and development. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032363035
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