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Computational and Analytical Framework for Small RNA Profiling by High-Throughput Sequencing (reproducibility)


ABSTRACT: The purpose of this work was to describe a computational and analytical methodology for profiling small RNA by high-throughput sequencing. The datasets here were used to assess the reproducibility of small RNA datasets produced using Illumina sequencing-by-synthesis technology (SBS). We analyzed the reproducibility of small RNA SBS datasets by comparing libraries generated for biological replicates (rep1 and rep2) and technical replicates (rep2 and rep3).

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: James Carrington 

PROVIDER: E-GEOD-14694 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


The advent of high-throughput sequencing (HTS) methods has enabled direct approaches to quantitatively profile small RNA populations. However, these methods have been limited by several factors, including representational artifacts and lack of established statistical methods of analysis. Furthermore, massive HTS data sets present new problems related to data processing and mapping to a reference genome. Here, we show that cluster-based sequencing-by-synthesis technology is highly reproducible as  ...[more]

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