BioNano Genomics and Intel Advance Next-Generation Mapping

BioNano Genomics and Intel Advance Next-Generation Mapping

BioNano Genomics and Intel Advance Next-Generation Mapping

Overview: Putting Genome Maps Back in the Spotlight

Genome maps were at the center of early genomic research—vital tools that let researchers see the locations of genetic markers across large segments of a genome and make sense of their structure. But the high costs and months of effort needed to produce these maps put them beyond the reach of all but the best-funded efforts. The industry ...evolved, and next-generation sequencing (NGS) became the dominant tool for genomic research.

But even as NGS read-lengths have grown longer, the structural complexity of genomes forces researchers to put forth massive amounts of time and effort to assemble an accurate and complete genome from the fragmentary output of NGS sequencers. This results in genome assemblies that still miss much of the information that sequencing data is unable to decipher.

BioNano Genomics is driving the next great evolution in genomic analysis techniques—and bringing genome maps back to the fore. BioNano Genomics' Irys* System provides optical next-generation mapping (NGM) that dramatically reduces the cost and complexity of traditional genome mapping. In doing so, BioNano Genomics is enabling researchers to generate the highest quality genome assemblies available on the market today, as well as perform standalone structural variation (SV) analysis without the use of NGS.

To deliver outstanding throughput and scalability for its integrated IrysSolve* analytics pipeline, BioNano Genomics developed IrysSolve* Compute, based on the Intel® Xeon Phi™ coprocessor. Taking advantage of the coprocessor's massively parallel processing capabilities, the platform is helping customers accelerate time-to-results and generate new insights into plant, animal, and human genomics. In production work performed at BioNano Genomics' in-house lab, the workload acceleration enabled by the coprocessors reduced the time needed for human genome assembly.

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