1.Database content and construction

    2.Overall workflow and a self-determined method

    3.How to use the ENdb?

    4.Explanation of the definitions used by the website

    5.Development environment

1.Database content and construction.

Database content and construction.The user-friendly interface was provided to search,browse,download and visualize the detailed information.

2.Overall workflow and a self-determined method

i. Get the accurate location information of the publications (e.g. the figures, text description of location information or SNP loci).

ii. Follow up the cited experimental procedure publications.

iii. The reference genome version was obtained directly according to the data provided in the publications.

i. The screen resolution is unified and resized the images in the publication as 300%.

ii. The screen pixel values obtained by manual measurement are A, B from the transcription start site respectively. A free software for screen pixel was used to measure the pixel values of A, B and P (

iii. We obtained the start site of target genes from NCBI, and converted the corresponding version of location information by LiftOver in the UCSC browser, then, the formulas (1) and (2) were used to calculate the enhancer region.

The start position of enhancer = the start site of target gene±(A+W/2)/P*xxxb (1)

The end position of enhancer = the start site of target gene±(B-W/2)/P*xxxb (2)

The ‘±’ represents downstream or upstream in the start site of target gene.

iv. The region of enhancer is converted into hg19 or mm10 version by LiftOver.

3.How to use the ENdb?

The ‘Data-Browse’ page is organized as an interactive and alphanumerically sortable table that allows users to quickly search for samples and customize filters through ‘Species’, ‘Biosample name’, ‘Enhancer experiment’, and ‘Disease’. The ‘Show entries’ drop-down menu are provided for changing the number of records per page conveniently. Viewing the detailed enhancer information, users can simply search the ‘Enhancer ID’.

In order to help users to view the proximity information of enhancers in the genome intuitively, we developed a personalized genome browser using JBrowse and added a lot of useful tracks. Users see the proximity of enhancers to nearby genes, genome segments, SNPs and TFs.

If you want to share your data, please fill out the necessary information in the form below and we will add it to ENdb soon. Thank you.

The data of Enhancers and their elements of all samples are provided for download in the ‘Download’ page. Users can download their files of interest.

4.Explanation of the definitions used by the website
ENdb database contains 24 columns separated by tab:Description
Pubmed ID PMID of the article.
Symbol The named enhancer in the article.
Reference gene Reference genome version number (hg19,mm10).
Chromsome The chromsome number.
Start position The start position of the enhancer.
End position The end position of the enhancer.
Species Species,including human and mouse.
Sample The specific tissues or cells used in the experiment, other species cannot be explicitly described or described
Experiment class( High throughput/Low throughput) Experimental categories( High throughput/Low throughput).
Enhancer experiment Experiments used to prove the activity of enhancer.
Enhancer type Enhancer type(enhancer/super-enhancer).
Experiment description of enhancer target gene Experimental description of enhancer result.
Target gene The target genes of the enhancer was confirmed by experiments.
Disease Disease name.
Enhancer function The function of enhancers is verified experimentally.
Enhancer of the enhancers function Experiments on the function of enhancers.
Enhancer description of enhancers function Experimental description of the function of enhancers.
TF name The name of the transcription factor.
TF experiment Experiments on the TF of enhancers.
SNP symbol The definition SNP of GWAS.
SNP position The position of SNP.
SNP experiment Experiments on the SNP in the region of enhancers.
Distance from TSS The distance from TSS.
5.Development environment
Development environment

The current version of ENdb is developed using MySQL 5.7.17 ( and runs on a Linux-based Apache Web server ( The server-side scripting is PHP 7.0 ( . We designed and built the interactive interface using Bootstrap v3.3.7 ( and JQuery v2.1.1 (http://jquery. com). We used ECharts ( and D3 ( as a graphical visualization framework, and JBrowse ( is the genome browser framework. We recommend using a modern web browser that supports the HTML5 standard such as Firefox, Google Chrome, Safari, Opera or IE 9.0+ for the best display.

The ENdb database is freely available to the research community using the web link ( Users are not required to register or login to access features in the database.

Material disclaimer

The materials and frameworks used by ENdb are shared by the network and do not contain intellectual property infringement. If there is any infringement, please write to us and we will change it in time.

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