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Mining Next Generation Sequencing Data: How to Avoid "Treasure in, Error Out"

Large-Sample Genomic Data Mining for Quantitative Traits in U.S. Holstein Cows

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Journal of Data Mining in Genomics & Proteomics received 1467 citations as per Google Scholar report

Journal of Data Mining in Genomics & Proteomics
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Volume 4, Issue 1 (2013)

Editorial

Using Datasets for Modeling of Infectious Diseases

  • Simon Daefler

DOI: 10.4172/2153-0602.1000e103

Editorial

Highlights of Recent Articles on Data Mining in Genomics and Proteomics

  • Natarajan S

DOI: 10.4172/2153-0602.1000e104

Short Communication

Validation of a New Biomarker in Patients with Kawasaki Disease Identified by Proteomics

  • Rie Karasawa, Mikiya Fujieda, Kazuhide Ohta and Kazuo Yudoh

DOI: 10.4172/2153-0602.1000124

Research Article

An Agent Based Model of Tularemia

  • Oliver Attie and Simon Daefler

DOI: 10.4172/2153-0602.1000125

Research Article

Motility and β-Lactamases: Occurrences of Antibiotic Resistance in Nosocomial Infections

  • Tejpreet Chadha and John. C. Zak

DOI: 10.4172/2153-0602.1000126

Commentary

Meta-analysis of Aurora Kinase A (AURKA) Expression Data Reveals a Significant Correlation between Increased AURKA Expression and Distant Metastases in Human ER-positive Breast Cancers

  • Heinz-Ulli G. Weier and Jian-Hua Mao

DOI: 10.4172/2153-0602.1000127