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Profiling the HeLa S3 transcriptome using randomly...
Journal article

Profiling the HeLa S3 transcriptome using randomly primed cDNA and massively parallel short-read sequencing

Abstract

Sequence-based methods for transcriptome characterization have typically relied on generation of either serial analysis of gene expression tags or expressed sequence tags. Although such approaches have the potential to enumerate transcripts by counting sequence tags derived from them, they typically do not robustly survey the majority of transcripts along their entire length. Here we show that massively parallel sequencing of randomly primed …

Authors

Morin RD; Bainbridge M; Fejes A; Hirst M; Krzywinski M; Pugh TJ; McDonald H; Varhol R; Jones SJM; Marra MA

Journal

BioTechniques, Vol. 45, No. 1, pp. 81–94

Publisher

Taylor & Francis

Publication Date

7 2008

DOI

10.2144/000112900

ISSN

0736-6205