BioMed Research International

Biocloud: Cloud Computing for Biological, Genomics, and Drug Design


Publishing date
26 Apr 2013
Status
Published
Submission deadline
07 Dec 2012

1Department of Computer Science and Information Engineering, Chung Hua University, Taiwan

2Department of Computer Science and Information Engineering, Chang Gung University, Taiwan

3Department of Computer Engineering & Computer Science, University of Louisville, Louisville, KY, USA

4Department of Computing, Imperial College London, London, UK


Biocloud: Cloud Computing for Biological, Genomics, and Drug Design

Description

Cloud computing has emerged rapidly as an exciting new paradigm that offers a challenging model of computing and services. Leveraging cloud computing technology, bioinformatics tools can be made available as services to anyone anywhere and through any device. The use of large biodatasets, its highly demanding algorithms, and the hardware for sudden computational resources makes large-scale biodata analysis an attractive test-case for cloud computing.

This special issue aims to foster the dissemination of high quality research in any new idea, method, theory, and technique related to cloud computing and bioinformatics and to showcase the most recent developments and research in cloud computing for biological, genomics, and drug design, considering genomics and drug design on the cloud, biological tools on the cloud, biodatabase on the cloud, cloud-based biocomputing, and all kinds of successful applications. Original and research articles are solicited in all aspects of including theoretical studies, practical applications, new analysis and modeling technology, programming methodologies, and experimental prototypes. The papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue. Potential topics include, but are not limited to:

  • Cloud computing for biological databases
  • Cloud computing for biological service
  • Cloud computing for biological applications
  • Cloud computing for drug design (i.e., modeling, virtual screening, docking)
  • Cloud computing for genome analysis
  • Cloud computing for computational biology techniques (i.e., sequence alignment, phylogenetic tree construction)
  • Cloud computing for sequencing techniques and applications (i.e., resequencing, genome assembly, metagenomic)
  • Cloud computing for RNA/protein structure
  • Cloud computing for function prediction and classification
  • Cloud computing for systems biology (i.e., domain-domain interaction, protein-protein interaction, pathways, network comparison, network alignment)
  • Cloud computing for biological applications (i.e., viral research, infection disease)
  • Cloud computing for biochip analysis (i.e., microarray, chip analysis)
  • GPU technologies related to Biocloud

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/biomed/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/bioinformatics/bc/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 909470
  • - Editorial

Biocloud: Cloud Computing for Biological, Genomics, and Drug Design

Ching-Hsien Hsu | Chun-Yuan Lin | ... | Yi Ke Guo
  • Special Issue
  • - Volume 2013
  • - Article ID 140237
  • - Research Article

Enzyme Reaction Annotation Using Cloud Techniques

Chuan-Ching Huang | Chun-Yuan Lin | ... | Chuan Yi Tang
  • Special Issue
  • - Volume 2013
  • - Article ID 398968
  • - Research Article

Cloud Prediction of Protein Structure and Function with PredictProtein for Debian

László Kaján | Guy Yachdav | ... | Burkhard Rost
  • Special Issue
  • - Volume 2013
  • - Article ID 170356
  • - Research Article

Cloud Computing for Protein-Ligand Binding Site Comparison

Che-Lun Hung | Guan-Jie Hua
  • Special Issue
  • - Volume 2013
  • - Article ID 909717
  • - Research Article

A High Performance Cloud-Based Protein-Ligand Docking Prediction Algorithm

Jui-Le Chen | Chun-Wei Tsai | ... | Chu-Sing Yang
  • Special Issue
  • - Volume 2013
  • - Article ID 791051
  • - Research Article

Streaming Support for Data Intensive Cloud-Based Sequence Analysis

Shadi A. Issa | Romeo Kienzler | ... | Mohamed Abouelhoda
  • Special Issue
  • - Volume 2013
  • - Article ID 939460
  • - Research Article

Exploiting GPUs in Virtual Machine for BioCloud

Heeseung Jo | Jinkyu Jeong | ... | Dong Hoon Choi
  • Special Issue
  • - Volume 2013
  • - Article ID 469363
  • - Methodology Report

wFReDoW: A Cloud-Based Web Environment to Handle Molecular Docking Simulations of a Fully Flexible Receptor Model

Renata De Paris | Fábio A. Frantz | ... | Duncan D. A. Ruiz
  • Special Issue
  • - Volume 2013
  • - Article ID 721738
  • - Research Article

GPU-Based Cloud Service for Smith-Waterman Algorithm Using Frequency Distance Filtration Scheme

Sheng-Ta Lee | Chun-Yuan Lin | Che Lun Hung
  • Special Issue
  • - Volume 2013
  • - Article ID 658925
  • - Review Article

Translational Biomedical Informatics in the Cloud: Present and Future

Jiajia Chen | Fuliang Qian | ... | Bairong Shen
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision82 days
Acceptance to publication52 days
CiteScore2.410
Impact Factor2.197
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