LightCpG
LightCpG detects CpG sites in single-cell whole genome sequencing data to analyze DNA methylation patterns at single-cell resolution using a multi-view detection approach.
Key Features:
- Multi-View Detection: Detects CpG sites from multiple views within single-cell whole genome sequencing data to improve coverage of methylation-sensitive regions.
- Single-Cell Resolution: Operates on single-cell whole genome sequencing to capture cell-to-cell heterogeneity in CpG site presence and methylation.
- Enhanced Accuracy and Reliability: Applies computational strategies to reduce errors arising from variability in single-cell sequencing data.
Scientific Applications:
- Epigenetic Research: Enables analysis of DNA methylation patterns at CpG sites across individual cells to study regulatory and epigenetic mechanisms.
- Developmental Biology: Supports investigation of CpG site dynamics and methylation changes during cellular differentiation and development.
- Cancer Research: Facilitates examination of methylation heterogeneity in individual tumor cells and the identification of cell-level methylation variations relevant to biomarkers.
Methodology:
Integrates data from multiple sequencing reads and applies sophisticated algorithms for noise reduction and error correction to ensure comprehensive coverage and reliable detection of CpG sites in single-cell whole genome sequencing data.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- MATLAB, Python
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Jiang L, Wang C, Tang J, Guo F. Correction to: LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data. BMC Genomics. 2019;20(1). doi:10.1186/s12864-019-5742-x. PMID:31084602. PMCID:PMC6513517.
Documentation
Links
Issue tracker
https://github.com/guofei-tju/LightCpG/issues