BREC

BREC identifies eu-heterochromatin boundaries and estimates local recombination rates from genetic and physical map data to characterize chromosomal structure and recombination profiles.


Key Features:

  • Automated eu-heterochromatin boundary identification: Uses statistical analysis of Marey maps to locate eu-heterochromatin boundaries along chromosomes.
  • Local recombination rate estimation: Produces local recombination rate estimates derived from the relationship between genetic and physical maps.
  • Non-genome-specific application: Operates on input genetic and physical maps without reliance on a specific reference genome, enabling analysis across diverse species including non-model organisms.
  • Data quality control module: Includes a pre-processing step that addresses marker density and distribution issues to improve input data quality.
  • Validation and reliability: Boundary identifications were validated against cytological equivalents in Drosophila melanogaster and recombination estimates were compared with previously reported values.

Scientific Applications:

  • Genome biology and evolutionary studies: Provides heterochromatin boundary maps and local recombination profiles for comparative genomics and studies of recombination-driven evolutionary processes across model and non-model species.

Methodology:

Processes genetic and physical map data using the Marey maps method and statistical analysis with a data pre-processing module to identify eu-heterochromatin boundaries and estimate local recombination rates.

Topics

Details

License:
GPL-3.0
Tool Type:
library, web application
Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/6/2021

Operations

Publications

Mansour Y, Chateau A, Fiston-Lavier A. BREC: An R package/Shiny app for automatically identifying heterochromatin boundaries and estimating local recombination rates along chromosomes. Unknown Journal. 2020. doi:10.1101/2020.06.29.178095.