igv.js is an embeddable interactive genome visualization component developed by the Integrative Genomics Viewer team.
It lets developers add an interactive genome browser to a web page, configure reference genomes and initial tracks, and control the viewer from JavaScript. The project is aimed at genomics and bioinformatics workflows and provides browser-based visualisation for a broad range of genomic data types.
This is free and open source software.
Key Features
- Supports a wide range of track types including annotation, wig, alignment, variant, mutations, segmented copy number, GWAS, interact, QTL, junctions, CNV Pytor, merged wig, and RNA structure.
- Includes ready-made examples for alignments, interactions, copy number views, multiple regions, Mutation Annotation Format (MAF), and variant color options.
- Provides documentation for browser creation and the Browser API, along with support for events, sample information, regions of interest, OAuth, data URIs, query parameters, and data server requirements.
- Can be used via pre-built files for script include, AMD, CommonJS, and ES6 module systems, and can also be installed from npm.
- Ships with TypeScript definitions in the distributed package.
- Works with modern web browsers that support JavaScript ECMAScript 2015 (ES6).
Website: github.com/igvteam/igv.js
Support:
Developer: Integrative Genomics Viewer team
License: MIT License
igv.js is written in JavaScript. Learn JavaScript with our recommended free books and free tutorials.
Related Software
| Web-Based Desktop Genome Browsers | |
|---|---|
| Ensembl | Resource for geneticists, molecular biologists and other researchers |
| Genome Browser | Interactively visualize genomic data |
| GDV | Exploration and analysis of eukaryotic RefSeq genome assemblies |
| HiGlass | Explore and compare genomic contact matrices and tracks |
| GIVE | Genomic Interactive Visualization Engine |
| Epigenome Browser | Visualization, integration and analysis tools for epigenomic datasets |
| trackplot | Visualize various next-generation sequencing data |
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