Welcome to The RNA Atlas forward into R2, an online datamining and discovery platform designed to assist the bio-medical researchers with limited to no Bioinformatics skills to perform datascience tasks in the omics field.
This page will redirect you to R2 within a couple of seconds, or you can immediately go there via this link.
Use to various tools implemented in the R2 platform to visualize and analyze any RNA species identified in the resource. Hundreds of newly identified lncRNA's and other transcripts.
Use the data embedded in R2 to do head-to-head comparisons on the expression of any gene to see the effect of using either RNA enrichment method. For all of the versions, also data sets are available in R2 to explore expression in groups using correlation, differential expression and more.
LongHorn predicts modulation of canonical regulators (or effectors), including miRNA, RBP, and TF, by lncRNAs. Leveraging the RNA Atlas, LongHorn identifies four models for lncRNA regulation:
Decoy: binds and inhibits the activity of effectors by affecting their availability to regulate their protein-coding targets
Co-factor: binds proximal promoters of protein-coding genes and alter their regulation by TFs
Guide: facilitates regulation of protein-coding genes by TFs
Switch: alters the activity of TFs and RBPs across multiple targets.
The viewer in R2 allows you to browse through these data.
Explore the 300 samples sequenced with different strategies (poly-A, ribo depleted, small RNAs ) at base pair resolution.
Generate comphehensive overviews of any transcript described in the RNA Atlas, including newly identified transcripts for mRNA, lncRNA, circRNA and any other RNA moiety.
Get your own copy of all the transcripts in GTF format to analyze your own RNAseq data for the presence of previously undescribed RNA entities.
The RNA Atlas expands the catalog of human non-coding RNAs by Lucia Lorenzi et al. Nature Biotechnology volume 39, pages1453–1465 (2021) .