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.