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dc.contributor.authorLiu, Fang
dc.contributor.authorJenssen, Tor-Kristian
dc.contributor.authorTrimarchi, Jeff
dc.contributor.authorPunzo, Claudio
dc.contributor.authorCepko, Connie
dc.contributor.authorOhno-Machado, Lucila
dc.contributor.authorHovig, Eivind
dc.contributor.authorPatrick Kuo, Winston
dc.date.accessioned2011-03-10T00:33:38Z
dc.date.issued2007
dc.identifier.citationLiu, Fang, Tor-Kristian Jenssen, Jeff Trimarchi, Claudio Punzo, Connie L Cepko, Lucila Ohno-Machado, Eivind Hovig, and Winston Patrick Kuo. 2007. Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates. BMC Genomics 8: 153.en_US
dc.identifier.issn1471-2164en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4740120
dc.description.abstractBackground: High-throughput systems for gene expression profiling have been developed and have matured rapidly through the past decade. Broadly, these can be divided into two categories: hybridization-based and sequencing-based approaches. With data from different technologies being accumulated, concerns and challenges are raised about the level of agreement across technologies. As part of an ongoing large-scale cross-platform data comparison framework, we report here a comparison based on identical samples between one-dye DNA microarray platforms and MPSS (Massively Parallel Signature Sequencing). Results: The DNA microarray platforms generally provided highly correlated data, while moderate correlations between microarrays and MPSS were obtained. Disagreements between the two types of technologies can be attributed to limitations inherent to both technologies. The variation found between pooled biological replicates underlines the importance of exercising caution in identification of differential expression, especially for the purposes of biomarker discovery. Conclusion: Based on different principles, hybridization-based and sequencing-based technologies should be considered complementary to each other, rather than competitive alternatives for measuring gene expression, and currently, both are important tools for transcriptome profiling.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi://10.1186/1471-2164-8-153en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC1899500/pdf/en_US
dash.licenseLAA
dc.titleComparison of Hybridization-based and Sequencing-based Gene Expression Technologies on Biological Replicatesen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Genomicsen_US
dash.depositing.authorCepko, Connie
dc.date.available2011-03-10T00:33:38Z
dash.affiliation.otherHMS^Ophthalmologyen_US
dash.affiliation.otherHMS^Geneticsen_US
dc.identifier.doi10.1186/1471-2164-8-153*
dash.contributor.affiliatedCepko, Constance


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