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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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Citations : 1467

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 7, Issue 1 (2016)

Review Article

Mining Datasets for Molecular Subtyping in Cancer

  • Sally Yepes and Maria Mercedes Torres

DOI: 10.4172/2153-0602.1000185

Research Article

Identification of Host-Specific Genetic Markers within 16S rDNA Intervening Sequences of 73 Genera of Fecal Bacteria

  • Zhenyu Shen, Ning Zhang, Azlin Mustapha, Mengshi Lin, Dong Xu, Daiyong Deng, Mary Reed and Guolu Zheng

DOI: 10.4172/2153-0602.1000186

Short Communication

Interpretable Boosted Decision Trees for Prediction of Mortality Following Allogeneic Hematopoietic Stem Cell Transplantation

  • Roni Shouval, Arnon Nagler, Myriam Labopin and Ron Unger

DOI: 10.4172/2153-0602.1000184

Short Communication

Generalized Measure of Dependency for Analysis of Omics Data

  • Qihua Tan, Martin Tepel, Hans C Beck, Lars M Rasmussen and Jacob von Bornemann Hjelmborg

DOI: 10.4172/2153-0602.1000183

Research Article

Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level

  • Da Wei Huang, Castle Raley, Min Kang Jiang, Xin Zheng, Dun Liang, M Tauseef Rehman, Helene C Highbarger, Xiaoli Jiao, Brad Sherman, Liang Ma, Xiaofeng Chen, Thomas Skelly, Jennifer Troyer, Robert Stephens, Tomozumi Imamichi, Alice Pau, Richard A Lempicki, Bao Tran, Dwight Nissley, H Clifford Lane and Robin L Dewar

DOI: 10.4172/2153-0602.1000182