ISSN: 2153-0602
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
Department of Genome Sciences, University of Washington, Seattle, United States
Opinion Article Evaluation of Protein Identification Using Randomized Sequence Database Author(s): Brook Searle*
DOI: 10.4172/2153-0602.23.14.274
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