Uncovering hidden duplicated content in public transcriptomics data
Author:
Affiliation:
1. Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland and 2Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
Publisher
Oxford University Press (OUP)
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems
Link
http://academic.oup.com/database/article-pdf/doi/10.1093/database/bat010/16732519/bat010.pdf
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4. The Sequence Read Archive: explosive growth of sequencing data;Kodama;Nucleic Acids Res.,2012
5. Analysis of high density expression microarrays with signed-rank call algorithms;Liu;Bioinformatics,2002
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