The Integrative Genomics Viewer (IGV) is a high-performance visualization tool for interactive exploration of large, integrated genomic datasets. It supports a wide variety of data types, including array-based and next-generation sequence data, and genomic annotations.
Navigation through a dataset is similar to Google Maps, allowing the user to zoom and pan seamlessly across the genome at any level of detail from whole-genome to base pair.
IGV’s scalable architecture makes it well suited for genome-wide exploration of next-generation sequencing (NGS) datasets, including both basic aligned read data as well as derived results, such as read coverage.
Key Features
- Flexible integration of a wide range of genomic data types including aligned sequence reads, mutations, copy number, RNAi screens, gene expression, methylation, and genomic annotation.
- Use of efficient, multi-resolution file formats to enable real-time exploration of arbitrarily large datasets over all resolution scales, while consuming minimal resources on the client computer.
- Supports concurrent visualization of diverse data types across hundreds, and up to thousands of samples, and correlation of these integrated datasets with clinical and phenotypic variables
- Datasets can be loaded from local or remote sources, including cloud-based resources, enabling investigators to view their own genomic datasets alongside publicly available data from, for example, The Cancer Genome Atlas (TCGA, 1000 Genomes (www.1000genomes.org/), and ENCODE (www.genome.gov/10005107) projects. In addition, IGV allows collaborators to load and share data locally or remotely over the Web.
- Cross-platform support – runs under Linux, Mac OS X, Windows, and any other operating system that supports Java 8 or 11.
Website: igv.org/doc/desktop
Support: User Guide, GitHub Code Repository
Developer: Broad Institute and Regents of the University of California
License: MIT License
IGV is written in Java. Learn Java with our recommended free books and free tutorials.
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