BioMed Research International

Frontiers in Integrative Genomics and Translational Bioinformatics


Publishing date
04 Sep 2015
Status
Published
Submission deadline
17 Apr 2015

Lead Editor

1University of Texas, San Antonio, USA

2Vanderbilt University, Nashville, USA

3University of Texas at San Antonio, San Antonio, USA

4University of Nebraska, Omaha, USA


Frontiers in Integrative Genomics and Translational Bioinformatics

Description

Integrative genomics has been widely applied to biomedical and biological research thanks to the exponential growth of the omics data. Translational bioinformatics is an emerging field focusing on applying informatics methodology to the increasing amount of biomedical and genomic data in order to generate knowledge for clinical applications. Research activities in both areas have been seen rapidly expanding.

Potential topics include, but are not limited to:

  • Multidimensional omics data integration and analysis in complex disease
  • Novel algorithms and analysis on emerging high throughput techniques such as ChIP-exo, Hi-C, and CLIP/RIP-seq, etc.
  • Systems/network biology approach to complex diseases
  • Cancer genome analysis and medical genomics
  • Single cell data analysis
  • Proteomics and biomarker discovery
  • Personalized medicine and systems pharmacology
  • Pharmacogenomics and bioimage informatics
  • Big data science including storage, analysis, modeling and visualization
  • High performance computing in biomedical research
  • Machine learning, data mining, text mining, and knowledge discovery in medicine
  • Visualization of complex data in medicine

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 725491
  • - Editorial

Frontiers in Integrative Genomics and Translational Bioinformatics

Zhongming Zhao | Victor X. Jin | ... | Jianhua Ruan
  • Special Issue
  • - Volume 2015
  • - Article ID 501528
  • - Research Article

Building Integrated Ontological Knowledge Structures with Efficient Approximation Algorithms

Yang Xiang | Sarath Chandra Janga
  • Special Issue
  • - Volume 2015
  • - Article ID 862130
  • - Research Article

RNAseq by Total RNA Library Identifies Additional RNAs Compared to Poly(A) RNA Library

Yan Guo | Shilin Zhao | ... | Yu Shyr
  • Special Issue
  • - Volume 2015
  • - Article ID 318217
  • - Research Article

OperomeDB: A Database of Condition-Specific Transcription Units in Prokaryotic Genomes

Kashish Chetal | Sarath Chandra Janga
  • Special Issue
  • - Volume 2015
  • - Article ID 350983
  • - Research Article

Predicting Drug-Target Interactions via Within-Score and Between-Score

Jian-Yu Shi | Zun Liu | ... | Yong-Jun Li
  • Special Issue
  • - Volume 2015
  • - Article ID 781023
  • - Research Article

Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA

Huiyan Jiang | Di Zhao | ... | Xiaoqi Ma
  • Special Issue
  • - Volume 2015
  • - Article ID 857327
  • - Research Article

How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective

Lei Wang | ChienWei Chiang | ... | Lang Li
  • Special Issue
  • - Volume 2015
  • - Article ID 491502
  • - Research Article

Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations

Yukun Chen | Jingchun Sun | ... | Zhongming Zhao
  • Special Issue
  • - Volume 2015
  • - Article ID 456479
  • - Research Article

A Comparison of Variant Calling Pipelines Using Genome in a Bottle as a Reference

Adam Cornish | Chittibabu Guda
  • Special Issue
  • - Volume 2015
  • - Article ID 196082
  • - Research Article

Assessing Computational Steps for CLIP-Seq Data Analysis

Qi Liu | Xue Zhong | ... | Yu Shyr
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision77 days
Acceptance to publication52 days
CiteScore2.410
Impact Factor2.197
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