Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

hTFtarget (32858223)

Explore Data

General information

Description: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets
Year founded: 2018
Last update: 2019
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China
Data type:
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Huazhong University of Science and Technology
Address:
City: Wuhan
Province/State: Hubei
Country/Region: China
Contact name (PI/Team): Anyuan Guo
Contact email (PI/Helpdesk): guoanyuan@hust.edu.cn

Related Database

Record metadata

Created on: 2020-09-06
Curated by:
Dong Zou [2020-09-06]

Ranking

0
Citations
0
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Publications

32858223
hTFtarget: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets. [PMID: 32858223]
Zhang Q, Liu W, Zhang HM, Xie GY, Miao YR, Xia M, Guo AY.

Transcription factors (TFs) as key regulators play crucial roles in biological processes. The identification of TF-target regulatory relationships is a key step for revealing functions of TFs and their regulations on gene expression. The accumulated data of chromatin immunoprecipitation sequencing (ChIP-seq) provide great opportunities to discover the TF-target regulations across different conditions. In this study, we constructed a database named hTFtarget, which integrated huge human TF target resources (7190 ChIP-seq samples of 659 TFs and high-confidence binding sites of 699 TFs) and epigenetic modification information to predict accurate TF-target regulations. hTFtarget offers the following functions for users to explore TF-target regulations: 1) browse or search general targets of a query TF across datasets; 2) browse TF-target regulations for a query TF in a specific dataset or tissue; 3) search potential TFs for a given target gene or non-coding RNA; 4) investigate co-association between TFs in cell lines; 5) explore potential co-regulations for given target genes or TFs; 6) predict candidate TF binding sites on given DNA sequences; 7) visualize ChIP-seq peaks for different TFs and conditions in a genome browser. hTFtarget provides a comprehensive, reliable and user-friendly resource for exploring human TF-target regulations, which will be very useful for a wide range of users in the TF and gene expression regulation community. hTFtarget is available at http://bioinfo.life.hust.edu.cn/hTFtarget.

Genomics Proteomics Bioinformatics. 2020:() | 0 Citations (from Europe PMC, 2020-09-12)