1.AbstractLong non-coding RNAs (lncRNAs) regulate gene expression through different molecular mechanisms, including DNA binding. We curated a database of RNA Binding Sites (RNABSdb) by harmonising publicly available raw-data of RNA-DNA binding. This resource is required to enable systematic studies on transcriptional regulation driven by lncRNAs. Focusing on high quality experiments, we found that the number of binding sites for each lncRNAs varies from hundreds to tens of thousands. Despite being poorly characterised, the formation of RNA:DNA:DNA triple helices (TPXs) is one of the molecular mechanisms that allow lncRNAs to bind the genome and drive alteration of gene expression. Few computational methods exist which can predict TPXs in silico and, in this study, we developed 3plex, a software that improves the state-of-the-art TPXs prediction method. Leveraging the data collected in RNABSdb for lncRNAs known to form funcional TPXs, we showed that 3plex outperformed existing approaches. Our analysis showed that TPXs tend to be shorter and more degenerated than expected. Finally, we applied 3plex to all the lncRNAs collected in RNABSdb and we show that the majority of lncRNA could bind the genome by TPXs formation.Data and software are available at https://molinerislab.github.io/RNABSdb/.