| Literature DB >> 33767193 |
Linda Milne1, Micha Bayer1, Paulo Rapazote-Flores1, Claus-Dieter Mayer2, Robbie Waugh3,4,5, Craig G Simpson6.
Abstract
A high-quality, barley gene reference transcript dataset (BaRTv1.0), was used to quantify gene and transcript abundances from 22 RNA-seq experiments, covering 843 separate samples. Using the abundance data we developed a Barley Expression Database (EORNA*) to underpin a visualisation tool that displays comparative gene and transcript abundance data on demand as transcripts per million (TPM) across all samples and all the genes. EORNA provides gene and transcript models for all of the transcripts contained in BaRTV1.0, and these can be conveniently identified through either BaRT or HORVU gene names, or by direct BLAST of query sequences. Browsing the quantification data reveals cultivar, tissue and condition specific gene expression and shows changes in the proportions of individual transcripts that have arisen via alternative splicing. TPM values can be easily extracted to allow users to determine the statistical significance of observed transcript abundance variation among samples or perform meta analyses on multiple RNA-seq experiments. * Eòrna is the Scottish Gaelic word for Barley.Entities:
Mesh:
Year: 2021 PMID: 33767193 PMCID: PMC7994555 DOI: 10.1038/s41597-021-00872-4
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444