BCREval
BCREval estimates the bisulfite conversion ratio (BCR) in whole genome shotgun bisulfite sequencing (WGSBS/WGBS, also BS-seq) by calculating the unconverted rate (UCR) from telomeric repetitive DNA as a native spike-in control to support accurate DNA methylation analysis.
Key Features:
- UCR estimation: Calculates the unconverted rate (UCR) to infer bisulfite conversion efficiency.
- Telomeric native spike-in: Leverages telomeric repetitive DNA as an internal/native spike-in control for conversion assessment.
- Binomial modeling: Models non-CpG DNA methylation at telomeres using a binomial model (observed ratio < 0.4%).
- BCR reporting: Reports bisulfite conversion ratio (BCR) metrics derived from telomeric UCR estimates.
- Public WGBS validation: Validated on public WGBS datasets showing most assays exceed 99.5% conversion efficiency.
- Comparative performance: Includes comparative analysis versus Bismark indicating faster and more efficient evaluation.
Scientific Applications:
- WGBS quality control: Provides QC metrics for whole genome bisulfite sequencing and WGSBS datasets.
- Conversion efficiency assessment: Quantifies bisulfite conversion to identify incomplete conversion that can lead to false positive methylation calls.
- Methylation data validation: Supports validation of DNA methylation measurements in BS-seq experiments by estimating BCR/UCR.
- Pipeline integration: Can be used to incorporate conversion-efficiency checks into WGBS data analysis pipelines.
Methodology:
Estimates UCR by leveraging telomeric repetitive DNA as a native spike-in control, models non-CpG methylation at telomeres with a binomial model (ratio < 0.4%), and has been validated on public WGBS datasets with comparative analysis against Bismark.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 1/31/2021
Operations
Publications
Zhou J, Zhao M, Sun Z, Wu F, Liu Y, Liu X, He Z, He Q, He Q. BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-019-3334-z. PMID:32005131. PMCID:PMC6995172.