BioMed Research International

Advances in Computational Genomics


Publishing date
24 Oct 2014
Status
Published
Submission deadline
06 Jun 2014

Lead Editor

1Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA

2Department of Cancer Biology, Vanderbilt University, Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD), Vanderbilt Center for Quantitative Sciences, Nashville, TN, USA

3School of Life Sciences, Fudan University, Shanghai, China

4Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, CA, USA


Advances in Computational Genomics

Description

Computational Genomics refers to the use of computational analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequences and other “postgenomic”data. Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research since their advent only a few years ago and have produced an avalanche of genome sequences. Transforming genomic information into biological knowledge requires creative and innovative new computational methods for all aspects of genomics. With the current abundance of massive biological datasets, computational studies have become one of the most important avenues for biological discovery.

We invite investigators to contribute original research articles, as well as review articles, that will stimulate the continuing efforts in Computational Genomics for more efficient analysis of big genomics data. Emphasis of implementations on high performance computing systems, parallel algorithms, and knowledge extraction from genome-wide genomics data will be seen favorably. Advances in computational methods are welcome, though all submissions should include genome-scale analyses. Potential topics include, but are not limited to:

  • Functional genomics
  • Evolutionary genomics
  • Comparative genomics
  • Metagenomics
  • Epigenomics, noncoding RNA analysis, and DNA methylation analysis
  • Applications in NGS 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/genomics/acg/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 529271
  • - Research Article

RNA-Seq Identifies Key Reproductive Gene Expression Alterations in Response to Cadmium Exposure

Hanyang Hu | Xing Lu | ... | Shan Zhong
  • Special Issue
  • - Volume 2014
  • - Article ID 969768
  • - Research Article

Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series

Hui Zhao | Fenglin Cao | ... | Jin Zhou
  • Special Issue
  • - Volume 2014
  • - Article ID 730814
  • - Research Article

BLAT-Based Comparative Analysis for Transposable Elements: BLATCAT

Sangbum Lee | Sumin Oh | ... | Kyudong Han
  • Special Issue
  • - Volume 2014
  • - Article ID 291280
  • - Research Article

A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer

Lei Zhong | Kuixi Zhu | ... | Qingyuan Zhang
  • Special Issue
  • - Volume 2014
  • - Article ID 971857
  • - Research Article

O18Quant: A Semiautomatic Strategy for Quantitative Analysis of High-Resolution 16O/18O Labeled Data

Yan Guo | Masaru Miyagi | ... | Quanhu Sheng
  • Special Issue
  • - Volume 2014
  • - Article ID 708903
  • - Research Article

Antioxidant Defense Enzyme Genes and Asthma Susceptibility: Gender-Specific Effects and Heterogeneity in Gene-Gene Interactions between Pathogenetic Variants of the Disease

Alexey V. Polonikov | Vladimir P. Ivanov | ... | Maria A. Solodilova
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
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