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Highly customized Hi-C data visualization application HiGlass is like, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain in detail for you, people with this need can come to learn, I hope you can get something.

HiGlass is a web application for visualization of hi-C data. With reference to the display form of data in UCSC Genome browser and juicebox, popular visualization frameworks such as D3.js are used to display the data. Based on web technology, the interactive experience of users is enhanced, but the disadvantage is that the construction process is more complicated. The web address is as follows

Http://higlass.io/about

Similar to other genome browsers, each type of information that needs to be displayed is defined as tracks, which provides a different form of presentation

The following URL is a demo website that shows various views of HiGlass

1. Single view

A single view window, which is used to display a single hi-c graph, which is basically shown in the following form

Display the hi-c map in the form of a heat map, allowing you to zoom through the mouse or specify the region of the genome through the search box.

2. Two linked views

The genome regions shown in the two interrelated windows are synchronized, so it is convenient to compare the similarities and differences between the two Hi-C maps, as shown below

3. Genome browser-like view

Display the data like a genome browser, as shown below

Of course, there are more presentation forms, the comprehensive use of a variety of views, can be flexibly customized to create a lot of high-end presentation forms, the following URL is some examples

By editing the configuration file, you can make fine adjustments to the visual data and form, such as modifying the color matching of the heat map in the following figure.

The threshold for the use of HiGlass is higher, but its display forms are more diverse, and the resulting effect images are more beautiful, so it is a sharp weapon for hi-c data visualization.

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