High-Performance Computational Solutions in Protein Bioinformatics

Dariusz Mrozek

ISBN 10: 3319069705 / ISBN 13: 9783319069708

Published by Springer, Palgrave Macmillan Jul 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch.

Seller Inventory # 9783319069708

Bibliographic Details

• Title: High-Performance Computational Solutions in Protein Bioinformatics
• Publisher: Springer, Palgrave Macmillan Jul 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319069705
• ISBN 13: 9783319069708
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 237 grams

About this title

Synopsis

Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches. Divided into four parts, the first part provides a formal model of 3D protein structures for functional genomics, comparative bioinformatics and molecular modeling. The second part focuses on the use of multithreading for efficient approximate searching on protein secondary structures. The third and fourth parts concentrate on finding 3D protein structure similarities with the support of GPUs and cloud computing. Parts three and four both describe the acceleration of different methods. The text will be of interest to researchers and software developers working in the field of structural bioinformatics and biomedical databases.