TSS-Captur is a novel pipeline that uses different computational approaches to characterize genomic regions starting from experimentally confirmed, but unclassified TSSs. It uses two methods to classify extracted transcripts into coding or non-coding genes and predicts for each putative transcript its transcription termination site. For each non-coding gene, the secondary structure is computed. Furthermore, putative promoter regions are analyzed to identify enriched motifs. The results are presented in an interactive report for easy exploration.
The web-interface we present here allows for a smooth interaction with the pipeline, as well as the possibility of exploring the data from a browser. The report is saved for three days for further exploration.
With this, starting from experimental TSS data, TSS-Captur characterizes unclassified signals and complements prokaryotic genome annotation tools, thus contributing to the enhanced understanding of bacterial transcriptomes.
Visit TSS-Captur at https://tsscaptur-tuevis.cs.uni-tuebingen.de/
GitHub: https://github.com/Integrative-Transcriptomics/tss-captur-dsl2
Preprint:
Witte Paz, M. A., Vogel, T., & Nieselt, K. (2024). TSS-Captur: A User-Friendly Characterization Pipeline for Transcribed but Unclassified RNA transcripts. bioRxiv, https://www.biorxiv.org/content/10.1101/2024.07.05.602221v1
Download an overview poster here!