Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq libraries.

ABSTRACT:

Background

The availability of fast alignment-free algorithms has greatly reduced the computational burden of RNA-seq processing, especially for relatively poorly assembled genomes. Using these approaches, previous RNA-seq datasets could potentially be processed and integrated with newly sequenced libraries. Confounding factors in such integration include sequencing depth and methods of RNA extraction and selection. Different selection methods (typically, either polyA-selection or rRNA-depletion) omit different RNAs, resulting in different fractions of the transcriptome being sequenced. In particular, rRNA-depleted libraries sample a broader fraction of the transcriptome than polyA-selected libraries. This study aimed to develop a systematic means of accounting for library type tha

SUBMITTER: Bush SJ 

PROVIDER: S-EPMC5470212 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature