Uncover hidden genomic variations.
Demo of Pantograph, the Interactive Pangenome Browser
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Pantograph named SeedWorld Top Innovative Product of 2023
Pantograph, our interactive and scalable visualization tool, gives you unprecedented access to your pangenomes. Intuitively inspect large-scale variation between complete genomes in whole chromosome views, or dive deep to single nucleotide level variation. Pantograph shows meta data of the genomes, such as phenotype information alongside the genetic variation, thus allowing you to sort genomes by meta data or by genetic variants. Moreover, Pantograph lets you visualize and compare gene annotations from multiple genomes altogether.
Benefits:
A pangenome is a collection of sequences from individuals typically from the same species. Pangenome analyses fuel gene and marker discovery, can guide gene editing, and help charting the full genetic diversity of a species, including copy number and large-scale genetic variation.
Relying on a single reference genome for a species does not capture the full extent of genetic diversity present in populations. Pangenomes offer a revolutionary alternative by providing a more comprehensive and accurate representation of genetic variation and homology, thereby enhancing the discovery of links between genetics and traits, which will improve our understanding of the genetic basis of traits.
Pangenomes help unlock new genetic and evolutionary insights, and pave the way for groundbreaking discoveries.
Benefits:
Please find below details to each solution - from Graph Genotyping to visualizing genetic variations with Pantograph, our Interactive Pangenome Browser.
Graph genotyping for pangenomes holds promise for various applications, including population genetics, disease association studies, crop breeding, and understanding complex phenotypes. We can build genome graphs from one or many of these data sources: long read data, assembled contigs or whole genomes, or databases of (structural) variation from your species to further increase the accuracy of variant calling. This allows you to discover novel markers (including structural variations - SVs), even for short read or low-coverage data, and it reduces or even eliminates reference bias in calling variants. On top of that you gain access to variation in non-reference genome space.
By leveraging the power of pangenome graphs gain deeper insights into the genetic diversity of populations and improve the accuracy of variant detection. Ultimately, achieve more effective precision breeding and genetic research.
Benefits:
