Aﬀordable, high-volume genome sequencing oﬀers the promise of producing answers to some of medicine’s most intractable problems—that is, if genomic researchers can keep up with the tsunami of data being generated. Having access to raw data from tens of thousands of genomes provides bioinformaticists and computational biologists with the ability to discover new, disease-causing DNA variants that ...were not previously detectable with smaller data sets. It makes it possible to find rare mutations that, as therapeutic targets, may inhibit disease and to identify previously overlooked variants in well-known, cancer-causing genes. Researchers are under increasing pressure to accelerate the pace of such biomedical discoveries.
But ingesting, analyzing and storing raw data from huge genomic data sets is complicated and costly—a reality that can inhibit discovery. To maximize the potential of genome analytics, researchers need faster, more cost-eﬀective tools. They need state-of-the-art hardware and software solutions that simplify the execution of large genomic workﬂows and improve the storage, scalability, and processing of genomic data. In short, they need tools that provide rapid, reliable throughput and the ability to scale cost eﬀectively.