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
View More »
Journal of Data Mining in Genomics & Proteomics received 1467 citations as per Google Scholar report
Department of Genome Sciences, Ningbo University, Ningbo, China
Opinion Functional Clustering: A Key Tool for Proteomics Data Interpretation Author(s): Michael Evans*
DOI: 10.4172/2153-0602.23.14.314
HTML PDF