cloud-based computing architectures for solving hot issues in structural bioinformatics

Dariusz Mrozek

doi:10.4018/978-1-4666-8213-9.ch009

cloud-based computing architectures for solving hot issues in structural bioinformatics

Dariusz Mrozek

Department of Applied Informatics (RAU/RAU7)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Bioinformatics as a scientific domain develops tools that enable understanding the wealth of information hidden in huge volumes of biological data. However, there are several problems in bioinformatics that, although already solved or at least equipped with promising algorithms, still require huge computing power in order to be completed in a reasonable time. Cloud computing responds to these demands. This chapter shows several cloud-based computing architectures for solving hot issues in structural bioinformatics, such as protein structure similarity searching or 3D protein structure prediction. Presented architectures have been implemented in Microsoft Azure public cloud and tested in several projects developed by Cloud4Proteins research group.

Original language	English
Title of host publication	Emerging Research in Cloud Distributed Computing Systems
Publisher	IGI Global
Pages	294-314
Number of pages	21
ISBN (Electronic)	9781466682146
ISBN (Print)	1466682132, 9781466682139
DOIs	https://doi.org/10.4018/978-1-4666-8213-9.ch009
Publication status	Published - 31 Mar 2015

Keywords

3D protein structure
Cloud4proteins
Cloud4psi
Protein data bank
Protein structure prediction
Proteins
Web role
Worker role

ASJC Scopus subject areas

General Computer Science
General Engineering

Access to Document

10.4018/978-1-4666-8213-9.ch009

Cite this

@inbook{4294978b0ae3450dbbb88079728c6ba6,

title = "cloud-based computing architectures for solving hot issues in structural bioinformatics",

abstract = "Bioinformatics as a scientific domain develops tools that enable understanding the wealth of information hidden in huge volumes of biological data. However, there are several problems in bioinformatics that, although already solved or at least equipped with promising algorithms, still require huge computing power in order to be completed in a reasonable time. Cloud computing responds to these demands. This chapter shows several cloud-based computing architectures for solving hot issues in structural bioinformatics, such as protein structure similarity searching or 3D protein structure prediction. Presented architectures have been implemented in Microsoft Azure public cloud and tested in several projects developed by Cloud4Proteins research group.",

keywords = "3D protein structure, Cloud4proteins, Cloud4psi, Protein data bank, Protein structure prediction, Proteins, Web role, Worker role",

author = "Dariusz Mrozek",

year = "2015",

month = mar,

day = "31",

doi = "10.4018/978-1-4666-8213-9.ch009",

language = "English",

isbn = "1466682132",

pages = "294--314",

booktitle = "Emerging Research in Cloud Distributed Computing Systems",

publisher = "IGI Global",

address = "United States",

}

TY - CHAP

T1 - cloud-based computing architectures for solving hot issues in structural bioinformatics

AU - Mrozek, Dariusz

PY - 2015/3/31

Y1 - 2015/3/31

N2 - Bioinformatics as a scientific domain develops tools that enable understanding the wealth of information hidden in huge volumes of biological data. However, there are several problems in bioinformatics that, although already solved or at least equipped with promising algorithms, still require huge computing power in order to be completed in a reasonable time. Cloud computing responds to these demands. This chapter shows several cloud-based computing architectures for solving hot issues in structural bioinformatics, such as protein structure similarity searching or 3D protein structure prediction. Presented architectures have been implemented in Microsoft Azure public cloud and tested in several projects developed by Cloud4Proteins research group.

AB - Bioinformatics as a scientific domain develops tools that enable understanding the wealth of information hidden in huge volumes of biological data. However, there are several problems in bioinformatics that, although already solved or at least equipped with promising algorithms, still require huge computing power in order to be completed in a reasonable time. Cloud computing responds to these demands. This chapter shows several cloud-based computing architectures for solving hot issues in structural bioinformatics, such as protein structure similarity searching or 3D protein structure prediction. Presented architectures have been implemented in Microsoft Azure public cloud and tested in several projects developed by Cloud4Proteins research group.

KW - 3D protein structure

KW - Cloud4proteins

KW - Cloud4psi

KW - Protein data bank

KW - Protein structure prediction

KW - Proteins

KW - Web role

KW - Worker role

UR - https://www.scopus.com/pages/publications/84954349752

U2 - 10.4018/978-1-4666-8213-9.ch009

DO - 10.4018/978-1-4666-8213-9.ch009

M3 - Chapter

AN - SCOPUS:84954349752

SN - 1466682132

SN - 9781466682139

SP - 294

EP - 314

BT - Emerging Research in Cloud Distributed Computing Systems

PB - IGI Global

ER -

cloud-based computing architectures for solving hot issues in structural bioinformatics

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this