Revealing stable processing products from ribosome-associated small RNAs by deep-sequencing data analysis.

ABSTRACT: The exploration of the non-protein-coding RNA (ncRNA) transcriptome is currently focused on profiling of microRNA expression and detection of novel ncRNA transcription units. However, recent studies suggest that RNA processing can be a multi-layer process leading to the generation of ncRNAs of diverse functions from a single primary transcript. Up to date no methodology has been presented to distinguish stable functional RNA species from rapidly degraded side products of nucleases. Thus the correct assessment of widespread RNA processing events is one of the major obstacles in transcriptome research. Here, we present a novel automated computational pipeline, named APART, providing a complete workflow for the reliable detection of RNA processing products from next-generation-sequencing data

SUBMITTER: Zywicki M 

PROVIDER: S-EPMC3351166 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature