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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
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Volume 6, Issue 2 (2015)

Editorial

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

  • Zhihua Jiang*

DOI: 10.4172/2153-0602.1000e119

Research Article

Computational Identification, Characterization and Analysis of Conserved miRNAs and their Targets in Amborella Trichopoda

  • Hajieghrari B, Farrokhi N, Goliaei B and Kavousi K

DOI: 10.4172/2153-0602.1000168

Research Article

Trichoderma species Cellulases Produced by Solid State Fermentation

  • Sonika Pandey*, Mukesh Srivastava, Mohammad Shahid, Vipul Kumar, Anuradha Singh, Shubha Trivedi and Y.K. Srivastava

DOI: 10.4172/2153-0602.1000170

Research Article

Promoter Prediction in Bacterial DNA Sequences Using Expectation Maximization and Support Vector Machine Learning Approach

  • Ahmad Maleki*, Vahid Vaezinia and Ayda Fekri

DOI: 10.4172/2153-0602.1000171

Research Article

PGR: A Novel Graph Repository of Protein 3D-Structures

  • Wajdi Dhifli and Abdoulaye Baniré Diallo*

DOI: 10.4172/2153-0602.1000172

Review Article

Is it Time for Cognitive Bioinformatics?

  • Andrey Lisitsa* , Elizabeth Stewart, Eugene Kolker

DOI: 10.4172/2153-0602.1000173

Research Article

Prevalence and Molecular Epidemiology of Human Papillomavirus in Ecuadorian Women with Cervical Cytological Abnormalities

  • Guido Silva Francisco Altamirano, Walter Montenegro and Ricardo Silva

DOI: 10.4172/2153-0602.1000174

Research Article

Protein Functional Site Prediction Using a Conservative Grade and a Proximate Grade

  • Yosuke Kondo and Satoru Miyazaki*

DOI: 10.4172/2153-0602.1000175