Introduction

Recent sutdies indicate that DNA methylation can be used to correlates cis-regulatory factors with expression of nearby genes to identify transcriptional targets. But no such comprehensive database is existed.

Here, CanReMeth aims to provide a comprehensive DNA methylation based correlation between cis/ trans-regulatory factors and target genes. We computed the correlation of 10 upstream genes and 10 downstream genes of methylation probe to infer target gene firstly and then provide cis/ trans-regulatory factors analysis of the probe sites to correlate to target genes. CanReMeth contains probe and target gene pairs of 33 The Cancer Genome Atlas (TCGA) cancer types. Furthermore, CanReMeth contains 5 kind of cis-regulatory factors: super enhancers (17 out of the upper 33 TCGA cancer types, 17/33), enhancers (25/33), ATAC (23/33), 3D chromatin interaction (12/33) and CpG islands and 2 trans-regulatory factors: transcription factors identified by CHIP-seq (23/33) and motif respectively.


Transcriptional regulatory of mRNAs

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Statistic of samples

Contact us

Principal Investigator:Chunquan Li, Ph.D.

Phone: 86-459-8153035

Fax: 86-459-8153035

Email: lcqbio@163.com

School of Medical Informatics,Daqing Campus Harbin Medical University 39 Xinyang Road, Daqing 163319, China

Sister Projects

TRCirc: a resource for transcriptional regulation information of circRNAs

SEdb: The comprehensive human Super-Enhancer database

SEanalysis: A web tool for super-enhancer associated regulatory analysis

KnockTF: a comprehensive human gene expression profile database with knockdown/knockout of transcription factors

ENdb: An experimentally supported enhancer database for human and mouse

TRlnc: A comprehensive database of human transcriptional regulation of lncRNAs

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