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Scalable Big Data Analytics for Protein Bioinformatics: Efficient Computational Solutions for Protein Structures: 28 (Computational Biology) - Tapa blanda
- EditorialSpringer
- Año de publicación2019
- ISBN 10 3030075389
- ISBN 13 9783030075385
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas344
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Scalable Big Data Analytics for Protein Bioinformatics
Publicado por
Springer International Publishing Dez 2018, 2018
ISBN 10: 3030075389
ISBN 13: 9783030075385
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes.The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures.The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases. 344 pp. Englisch. Nº de ref. del artículo: 9783030075385
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Scalable Big Data Analytics for Protein Bioinformatics : Efficient Computational Solutions for Protein Structures
Publicado por
Springer International Publishing, 2018
ISBN 10: 3030075389
ISBN 13: 9783030075385
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes.The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Datacomputational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures.The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases. Nº de ref. del artículo: 9783030075385
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Scalable Big Data Analytics for Protein Bioinformatics
Publicado por
Springer International Publishing, 2018
ISBN 10: 3030075389
ISBN 13: 9783030075385
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the potential held by new computational techniques, such as cloud computing and big data technologies, in connection with protein bioinformatics Chiefly focuses on protein structure, which remains poorly understood and is not effec. Nº de ref. del artículo: 458529186
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EUR 48,99
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Cantidad disponible: Más de 20 disponibles
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Scalable Big Data Analytics for Protein Bioinformatics: Efficient Computational Solutions for Protein Structures (Computational Biology, 28)
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: New. New. book. Nº de ref. del artículo: ERICA80030300753896
Gastos de envío:
EUR 29,73
De Reino Unido a Estados Unidos de America
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Cantidad disponible: 1 disponibles