TSSr

TSSr identifies and characterizes transcription start sites (TSSs) and infers core promoters from TSS sequencing data for genome-wide analysis of transcription initiation.


Key Features:

  • Accurate Mapping of Transcription Start Sites (TSSs): Incorporates newly developed algorithms to identify TSSs from mapped sequencing reads with enhanced precision.
  • Core Promoter Inference: Infers and characterizes core promoter regions to delineate promoter structures and transcription initiation activities.
  • Genome-wide Processing: Processes and analyzes TSS sequencing data on a genome-wide scale.
  • Data Export for Genome Browsers: Exports multiple types of TSS data compatible with genome browsers.
  • Visualization and Figure Generation: Generates publication-ready graphs for inspection and visualization of promoter activities and TSS distributions.

Scientific Applications:

  • Transcription initiation mapping: Mapping and quantification of TSSs to study transcription initiation patterns and regulated transcription.
  • Core promoter studies: Characterization of core promoter structures and their roles in transcription regulation.
  • Gene regulation and disease research: Investigating how TSS selection and promoter architecture contribute to gene regulation, cellular processes, and disease mechanisms.

Methodology:

Applies newly developed bioinformatics algorithms to map and identify TSSs from mapped sequencing reads of high-throughput TSS sequencing data, infer and characterize core promoters, perform genome-wide processing and analysis, export data compatible with genome browsers, and generate publication-ready visualizations.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
3/9/2022
Last Updated:
3/9/2022

Operations

Publications

Lu Z, Berry K, Hu Z, Zhan Y, Ahn T, Lin Z. TSSr: an R package for comprehensive analyses of TSS sequencing data. NAR Genomics and Bioinformatics. 2021;3(4). doi:10.1093/nargab/lqab108. PMID:34805991. PMCID:PMC8598296.

PMID: 34805991
PMCID: PMC8598296
Funding: - National Science Foundation: NSF 1564894, NSF 1951332

Links