Journal
SCIENTIFIC DATA
Volume 8, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41597-021-00872-4
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Funding
- Scottish Government Rural and Environment Science and Analytical Services division (RESAS)
- Biotechnology and Biological Sciences Research Council (BBSRC) [BB/I00663X/1]
- ERC [669182]
- BBSRC [BB/I00663X/1] Funding Source: UKRI
- European Research Council (ERC) [669182] Funding Source: European Research Council (ERC)
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A high-quality barley gene reference transcript dataset (BaRTv1.0) was used to quantify gene and transcript abundances across 22 RNA-seq experiments, leading to the development of a Barley Expression Database (EORNA) for visualizing comparative gene and transcript abundance data. The database provides gene and transcript models for all transcripts in BaRTv1.0, allowing users to easily identify and analyze transcript data.
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. * Erna is the Scottish Gaelic word for Barley.
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