High-Performance Computational Solutions in Protein Bioinformatics

Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Computer Science, Science & Nature, Science
Cover of the book High-Performance Computational Solutions in Protein Bioinformatics by Dariusz Mrozek, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Dariusz Mrozek ISBN: 9783319069715
Publisher: Springer International Publishing Publication: June 4, 2014
Imprint: Springer Language: English
Author: Dariusz Mrozek
ISBN: 9783319069715
Publisher: Springer International Publishing
Publication: June 4, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Development Aid and Sustainable Economic Growth in Africa by Dariusz Mrozek
Cover of the book New Data Structures and Algorithms for Logic Synthesis and Verification by Dariusz Mrozek
Cover of the book Low Complexity MIMO Receivers by Dariusz Mrozek
Cover of the book Building Bridges at the Science-Stakeholder Interface by Dariusz Mrozek
Cover of the book Key Concepts and Issues in Nursing Ethics by Dariusz Mrozek
Cover of the book Antibacterial Surfaces by Dariusz Mrozek
Cover of the book Disentangling Participation by Dariusz Mrozek
Cover of the book Integrated Diabetes Care by Dariusz Mrozek
Cover of the book Strategic Supply Chain Management by Dariusz Mrozek
Cover of the book Bogoliubov-de Gennes Method and Its Applications by Dariusz Mrozek
Cover of the book Animals, Race, and Multiculturalism by Dariusz Mrozek
Cover of the book MDCT and MR Imaging of Acute Abdomen by Dariusz Mrozek
Cover of the book Resistance to Tyrosine Kinase Inhibitors by Dariusz Mrozek
Cover of the book Decision and Game Theory for Security by Dariusz Mrozek
Cover of the book Handbook of Deep Learning Applications by Dariusz Mrozek
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy