CanMethdb
CanMethDB provides genome-wide annotations of DNA methylation, linking CpG sites to cis-regulatory elements, transcription factor-binding sites (TFBS), and target genes to support analysis of gene regulation in cancer.
Key Features:
- Comprehensive annotation: Integrates annotations of upstream cis-regulatory elements, distal regulatory regions, downstream functional annotations of target genes, and transcription factor-binding sites associated with CpG sites.
- Integration of methylation and expression data: Combines DNA methylation profiles with gene expression data to define CpG-target gene relationships.
- Extensive data coverage: Documents 38,986,060 CpG-target gene pairs (6,769,130 unique pairs), 385,217 CpGs, and 18,044 target genes.
- Cancer type specificity: Covers 33 cancer types from The Cancer Genome Atlas (TCGA).
- Hypo- and hypermethylation annotation: Includes annotations distinguishing hypo- and hypermethylated CpG sets.
Scientific Applications:
- Gene regulation analysis: Enables study of gene regulation mechanisms mediated by DNA methylation in cancer.
- Oncogenesis investigation: Facilitates investigation of how DNA methylation changes influence gene expression and contribute to oncogenesis.
- Transcription factor–CpG interaction analysis: Supports analysis of transcription factor interactions with CpG sites and regulatory elements in cancer contexts.
Methodology:
Integrated DNA methylation profiles with gene expression datasets across cancer types and annotated cis-regulatory elements and transcription factor-binding sites associated with CpG sites.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Python
- Added:
- 2/12/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Zhao J, Qian F, Li X, Yu Z, Zhu J, Yu R, Zhao Y, Ding K, Li Y, Yang Y, Pan Q, Chen J, Song C, Wang Q, Zhang J, Wang G, Li C. CanMethdb: a database for genome-wide DNA methylation annotation in cancers. Bioinformatics. 2022;39(1). doi:10.1093/bioinformatics/btac783. PMID:36477791. PMCID:PMC9825769.