R-loopBase v2.0: species- and cell type-resolved quantitative R-loop maps and R-loop regulatory resources.

R-loopBase v2.0 delivers quantitative, genome-wide R-loop confidence maps across human and multiple species, scoring 358 datasets from 16 technologies with strong concordance to known biology.

• Why it matters: Prior R-loopBase maps were limited to human and used categorical confidence without cell type resolution, leaving gaps in understanding the R-loop regulatory network.
• What they did: The team uniformly re-analyzed 358 R-loop mapping datasets from 16 technologies, built a quantitative scoring framework, and extended it to human cell types plus mouse, fruit fly, and yeast.
• The result: The expanded regulator collection and new tools—including multi-species genome browsing, deep learning prediction, and R-loop homeostasis analysis—enable inference of R-loop homeostasis changes and support updated R-loop research.

AI summary of the abstract · may contain errors · not medical advice · read the paper.