Molecular PlantBioinformaticsPeer-reviewed journal article
A comprehensive online database for exploring ~20,000 public Arabidopsis RNA-Seq libraries
Hong ZhangiD, Fei ZhangiD, Yiming YuiD, Feng LiiD, Jinbu JiaiD, Bo LiuiD, Bosheng LiiD, Hongwei GuoiD, Jixian ZhaiiD
Abstract
Application of Next Generating Sequencing (NGS) technology in transcriptome profiling has greatly improved our understanding of transcriptional regulation at genome-wide scale in the last decade, and tens of thousands of RNA-sequencing (RNA-seq) libraries have been produced by the research community. However, accessing such huge amount of RNA-seq data poses a big challenge for groups that lack dedicated bioinformatic personnel or expensive computational resources. Here, we introduce the Arabidopsis RNA-seq database (ARS), a free, web-accessible, and user-friendly to quickly explore expression level of any gene in 20,000+ publicly available Arabidopsis RNA-seq libraries.
- organism: Arabidopsis
- assay: bulk RNA-seq
- research focus: database / resource
- approach: benchmark study
- Citations
- 186
- FWCI
- 7.37
- Field percentile
- top 1%
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