BioMed Research International

Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data


Publishing date
29 Aug 2014
Status
Published
Submission deadline
11 Apr 2014

Lead Editor

1Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan

2Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan

3Institute of Tropical Plant Sciences, National Cheng Kung University, Tainan, Taiwan

4Institute of Systems Biology and Bioinformatics, National Central University, Taoyuan, Taiwan

5Graduate Program in Biomedical Informatics, Yuan Ze University, Taoyuan, Taiwan

6Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan


Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data

Description

With the advent of high-throughput technologies, molecular biology is experiencing a surge in both growth and scope. As the amount of experimental data increases, so is the demand for the development of ways to analyze these results. For example, the next-generation sequencing (NGS) technology has generated various sequencing data. Mass spectrometry- (MS-) based experiments are also widely applied in proteomics studies. Rapidly advancing technologies have offered us the opportunities to examine the genome, transcriptome, and proteome in comprehensive ways. Yet, extracting meaningful information from this vast sea of data and approaching biological problems from a systems biology perspective have become the Holy Grail in bioinformatics.

The main focus of this special issue will be on new ideas, original research findings, and practical applications that intend to answer biological questions through high-throughput technologies. Methods and experiments, demonstrating novel platforms and systems, developing new bioinformatical tools and models, or presenting new directions for future research, are also welcome. This special issue will become an international forum for researchers to summarize the most recent developments and ideas in the field, with particular emphasis on the technical and observational results obtained within the last five years. Potential topics include, but are not limited to:

  • NGS data analysis for genomics/transcriptomics/metagenomics/epigenomics
  • Microarray data analysis and transcriptional regulation
  • Proteome chip data analysis and translational applications
  • Computational proteomics for protein structure, function, and sequence analysis
  • Biological databases/tools
  • Any novel approaches to high-throughput biological data analysis

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/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/bsb/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 346074
  • - Research Article

MAVTgsa: An R Package for Gene Set (Enrichment) Analysis

Chih-Yi Chien | Ching-Wei Chang | ... | James J. Chen
  • Special Issue
  • - Volume 2014
  • - Article ID 538549
  • - Research Article

Target Capture and Massive Sequencing of Genes Transcribed in Mytilus galloprovincialis

Umberto Rosani | Stefania Domeneghetti | ... | Paola Venier
  • Special Issue
  • - Volume 2014
  • - Article ID 675158
  • - Research Article

Defining Loci in Restriction-Based Reduced Representation Genomic Data from Nonmodel Species: Sources of Bias and Diagnostics for Optimal Clustering

Daniel C. Ilut | Marie L. Nydam | Matthew P. Hare
  • Special Issue
  • - Volume 2014
  • - Article ID 325697
  • - Research Article

MPINet: Metabolite Pathway Identification via Coupling of Global Metabolite Network Structure and Metabolomic Profile

Feng Li | Yanjun Xu | ... | Chunquan Li
  • Special Issue
  • - Volume 2014
  • - Article ID 462135
  • - Research Article

miRSeq: A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profiling

Cheng-Tsung Pan | Kuo-Wang Tsai | ... | Sung-Chou Li
  • Special Issue
  • - Volume 2014
  • - Article ID 386124
  • - Research Article

Ultrasonographic Fetal Growth Charts: An Informatic Approach by Quantitative Analysis of the Impact of Ethnicity on Diagnoses Based on a Preliminary Report on Salentinian Population

Andrea Tinelli | Mario Alessandro Bochicchio | ... | Antonio Malvasi
  • Special Issue
  • - Volume 2014
  • - Article ID 623078
  • - Research Article

Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles

Chia-Hung Chien | Yi-Fan Chiang-Hsieh | ... | Hsien-Da Huang
  • Special Issue
  • - Volume 2014
  • - Article ID 736473
  • - Research Article

A De Novo Genome Assembly Algorithm for Repeats and Nonrepeats

Shuaibin Lian | Qingyan Li | ... | Xianhua Dai
  • Special Issue
  • - Volume 2014
  • - Article ID 393280
  • - Research Article

High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study

Omid Hamidi | Lily Tapak | ... | Majid Sadeghifar
  • Special Issue
  • - Volume 2014
  • - Article ID 416543
  • - Research Article

Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction

Zheng Sun | Shihao Li | ... | Jianhai Xiang
BioMed Research International
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Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
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