TOBIAS

TOBIAS performs genome-wide footprinting analysis of transcription factor (TF) binding dynamics using ATAC-seq data.


Key Features:

  • ATAC-seq footprinting: Detects regions of open chromatin and infers TF binding sites from ATAC-seq signal.
  • Genome-wide analysis: Performs detailed footprinting across the entire genome to investigate TF dynamics at multiple levels.
  • High-throughput TF profiling: Analyzes binding kinetics for hundreds of transcription factors concurrently while maintaining speed and accuracy.
  • Algorithmic optimization: Integrates computational algorithms optimized for high accuracy and processing of large datasets.
  • Zygotic Genome Activation (ZGA) analysis: Applied to study TF dynamics during ZGA in human and mouse, including Dux-driven TF cascades, interactions with repeat elements, and induction of novel genetic elements.

Scientific Applications:

  • Transcriptional regulation studies: Dissects TF binding kinetics and regulatory networks governing gene expression.
  • Zygotic genome activation research: Characterizes TF dynamics and cascades during early developmental stages in human and mouse.
  • Repeat element and novel element analysis: Investigates TF interactions with repeat elements and the activation of novel genetic elements.

Methodology:

Performs ATAC-seq-based footprinting to identify open chromatin regions and likely TF binding sites, using computational algorithms optimized for accuracy and speed to process large datasets.

Topics

Details

License:
MIT
Programming Languages:
Python
Added:
1/14/2020
Last Updated:
1/16/2021

Operations

Publications

Bentsen M, Goymann P, Schultheis H, Klee K, Petrova A, Wiegandt R, Fust A, Preussner J, Kuenne C, Braun T, Kim J, Looso M. Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation. Unknown Journal. 2019. doi:10.1101/869560.

Documentation

Links