MethylomeDB
MethylomeDB provides genome-wide, single-CpG resolution DNA methylation profiles of human and mouse brain tissue for research on epigenetic mechanisms in brain development and neuropsychiatric disorders.
Key Features:
- Genome-wide single-CpG resolution: MethylomeDB contains methylation measurements at single-CpG resolution across the genome.
- High-resolution methylation profiles: The database includes high-resolution methylation profiles derived from diverse brain samples.
- Sample diversity: Datasets include non-psychiatric controls, schizophrenia patients, and individuals with depression.
- Cross-species forebrain data: Contains methylation data from both human and mouse forebrain specimens to enable comparative analyses.
- Integration of published datasets: Proprietary data are integrated with published DNA methylation datasets from other research groups.
- Data formats: Methylation data are provided in wiggle and microarray file formats.
Scientific Applications:
- Epigenetics of neuropsychiatric disorders: Enables analysis of DNA methylation patterns associated with schizophrenia and depression.
- Neurodevelopmental studies: Supports investigation of methylation changes relevant to brain development and function.
- Comparative epigenomics: Facilitates cross-species comparisons to identify conserved methylation patterns between human and mouse forebrain.
- Disease-associated locus identification: Allows interrogation of specific CpG sites to detect methylation changes linked to disease states.
Methodology:
Genome-wide methylation profiles are provided at single-CpG resolution and integrated from proprietary and published datasets, with outputs represented in wiggle and microarray formats.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/30/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Xin Y, Chanrion B, O'Donnell AH, Milekic M, Costa R, Ge Y, Haghighi FG. MethylomeDB: a database of DNA methylation profiles of the brain. Nucleic Acids Research. 2011;40(D1):D1245-D1249. doi:10.1093/nar/gkr1193. PMID:22140101. PMCID:PMC3245019.