BAIT

BAIT analyzes Strand-Seq data to map and visualize sister chromatid exchanges (SCEs) and infer parental DNA template-strand inheritance for detecting genomic instability and identifying reference genome assembly errors.


Key Features:

  • DNA strand inheritance analysis: Analyzes DNA strand inheritance patterns using data derived from the Strand-Seq sequencing protocol.
  • SCE mapping and visualization: Maps and visualizes sister chromatid exchanges (SCEs) from single-cell Strand-Seq data.
  • Parental template-strand resolution: Independently sequences parental DNA template strands from single cells to reveal template-specific inheritance.
  • High-resolution SCE detection: Detects SCE events with resolution reported up to 23 base pairs (bp).
  • Reference assembly error detection: Identifies misoriented contigs and fragments in reference genomes, exemplified by discovery of at least 17 incorrectly oriented segments in the mm9 mouse assembly.
  • Empirical SCE quantification: Reports empirical metrics such as an average of eight SCEs per murine embryonic stem (mES) cell and detection of misorientations representing nearly 1% of the genome in mm9.
  • Species-specific input handling: Accepts species-specific Strand-Seq data to accommodate analyses across a range of species.

Scientific Applications:

  • Genomic instability assessment: Uses SCE mapping as an indicator of genomic stress and instability.
  • Reference genome refinement: Enables identification and correction of assembly errors such as misoriented contigs in reference genomes like mm9.
  • Single-cell genomics: Enhances single-cell sequencing studies by revealing template-strand inheritance and high-resolution SCE events.
  • Genomic integrity and evolution studies: Supports investigations into genomic integrity and evolutionary processes by detecting SCE patterns and assembly discrepancies.

Methodology:

Processes Strand-Seq sequencing data by independently sequencing parental DNA template strands from single cells and mapping and visualizing sister chromatid exchanges (SCEs), with detection reported at up to 23 bp resolution.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
R
Added:
12/18/2017
Last Updated:
4/14/2021

Operations

Data Inputs & Outputs

Other operations do not define inputs or outputs.

Publications

Falconer E, Hills M, Naumann U, Poon SSS, Chavez EA, Sanders AD, Zhao Y, Hirst M, Lansdorp PM. DNA template strand sequencing of single-cells maps genomic rearrangements at high resolution. Nature Methods. 2012;9(11):1107-1112. doi:10.1038/nmeth.2206. PMID:23042453. PMCID:PMC3580294.

Documentation

Links