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KnowYourCG: Facilitating base-level sparse methylome interpretation

delete2025-10-24
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PRE
AI
D
David C. Goldberg
H
Hongxiang Fu
D
Daniel Atkins
E
Ethan Jacob Moyer
C
Chin Nien Lee
Y
Yanxiang Deng
W
Wanding Zhou *
DOI:10.1126/sciadv.adw3027delete
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Abstract

Abstract

En 中文
Decoding DNA methylomes for biological insights is critical in epigenetics research. We present KnowYourCG (KYCG), a data interpretation framework designed for functional DNA methylation analysis. Unlike existing tools that target genes or genomic intervals, KYCG features direct base-level screenings of diverse biological and technical influences, including sequence motifs, transcription factor binding, histone modifications, replication timing, cell-type–specific methylation, and trait associations. Through implementing efficient infrastructure that rapidly screens and investigates thousands of knowledgebases, KYCG addresses the challenges of data sparsity in various methylation datasets, including low-pass or single-cell DNA methylomes, 5-hydroxymethylation (5hmC) profiles, spatial DNA methylation maps, and array-based datasets for epigenome-wide association studies. Applying KYCG to these datasets provides valuable insights into cell differentiation, cancer origins, epigenome-trait associations, and technical issues such as array artifacts, single-cell batch effects, and Nanopore 5hmC detection accuracy. Our tool simplifies large-scale methylation analysis and integrates seamlessly with standard assay technologies.

Journal

Science Advances cover
Science Advances
IF:
12.5
Papers:
2.0W
Citations:
18.1W

Organization

U
university of pennsylvania
Scholars:
9.2W
Papers: 7.8W
Citations: 153
T
The Children’s Hospital of Philadelphia
Scholars:
173
Papers: 51
Citations: 0