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Multi-Omics Integration: IGV can display data from various omics fields, such as genomics, transcriptomics, and epigenomics, providing a comprehensive view of cancer biology.
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Interactive Visualization: Users can zoom in on specific regions of interest, such as
single nucleotide polymorphisms (SNPs) or larger structural variants, to analyze their implications in cancer.
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Custom Tracks and Annotations: Researchers can upload custom tracks to explore specific genomic regions or annotate regions of interest, facilitating a more personalized analysis.
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Broad Data Format Support: IGV supports a wide range of data formats including BAM, VCF, and GFF, enabling seamless integration of diverse datasets.
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Real-Time Data Exploration: With IGV, researchers can interactively explore data sets, switching between different genomic regions and samples without the need for extensive preprocessing.
