CimpleG

CimpleG identifies single-CpG DNA methylation (DNAm) signatures for cell-type classification and tissue deconvolution.


Key Features:

  • Single-CpG signature identification: Identifies single-CpG DNA methylation (DNAm) signatures for cell-type discrimination.
  • Single-site classifiers: Performs cell-type classification using only one DNA methylation site per cell type.
  • Cellular deconvolution: Facilitates deconvolution of mixed-cell tissue samples using single-CpG signatures.
  • Reduced computational burden: Focuses on individual CpG sites rather than multivariate methods that require analysis of hundreds of sites.
  • Comparable performance: Achieves performance levels comparable to top-performing multivariate methylation methods.
  • Applicability to blood and somatic cells: Demonstrated efficacy in classifying blood cells and other somatic cell types.

Scientific Applications:

  • Cell-type classification: Classifies cell types from DNAm data using single-CpG markers.
  • Tissue deconvolution: Deconvolves mixed-cell tissue samples to estimate cellular composition.
  • Blood cell profiling: Identifies and discriminates blood cell types based on single-CpG signatures.
  • Somatic cell-type profiling: Profiles other somatic cell types using minimal CpG marker sets.
  • Epigenetics research: Supports epigenetic studies that require reduced marker sets for classification and deconvolution.

Methodology:

Delineation of single-CpG DNA methylation (DNAm) signatures and use of one CpG site per cell type for cell-type classification and cellular deconvolution.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library
Programming Languages:
R
Added:
1/8/2024
Last Updated:
11/24/2024

Operations

Publications

Maié T, Schmidt M, Erz M, Wagner W, G. Costa I. CimpleG: finding simple CpG methylation signatures. Genome Biology. 2023;24(1). doi:10.1186/s13059-023-03000-0. PMID:37430364. PMCID:PMC10332104.

PMID: 37430364
Funding: - Deutsche Forschungsgemeinschaft: CRU344 - Bundesministerium für Bildung und Forschung: Fibromap

Links