Scalable Big Data Analytics for Protein Bioinformatics

Name: Scalable Big Data Analytics for Protein Bioinformatics
Brand: Springer, Berlin
SKU: 9783030075385
Price: 99.61 EUR
Availability: InStock

Efficient Computational Solutions for Protein Structures

Autor: Dariusz Mrozek

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

Odosielame za 8-11 dní

99.61 €

This book presents a focus on proteins and their structures. The text describes various scalable sol...

Informácie o knihe

Autor

Dariusz Mrozek

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2018

Stránok

315

EAN

9783030075385

Enbook ID

24705084

Vydavateľ

Springer, Berlin

Hmotnosť

585

Rozmery

155 x 15 x 18

Kompletný popis

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.

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Scalable Big Data Analytics for Protein Bioinformatics

Efficient Computational Solutions for Protein Structures

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