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• W2019955264 abstract "Significance RNA sequencing (RNA-Seq) is a common tool for measuring relative gene expression levels. However, as an absolute quantitative tool, the data are prone to various distortions due to biases from library preparation. We improve the quantitative aspects of RNA-Seq by barcoding individual cDNA molecules to correct for amplification bias, distinguish clonal replicates, and obtain absolute measurements of gene expression. We have also developed a set of barcoded synthetic RNAs that can be spiked into samples as easy-to-use quantitative controls. Additionally, we demonstrate the combined use of capture enrichment with molecular barcoding for the sequencing of targeted genes. These results demonstrate low library preparation efficiency leading to the stochastic loss of low-abundance transcripts, which cannot be overcome by simply increasing sequencing depth." @default.
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• W2019955264 date "2014-01-21" @default.
• W2019955264 modified "2023-10-11" @default.
• W2019955264 title "Molecular indexing enables quantitative targeted RNA sequencing and reveals poor efficiencies in standard library preparations" @default.
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• W2019955264 doi "https://doi.org/10.1073/pnas.1323732111" @default.
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