Computer scientists founded Appistry in 2001 to “solve big data analytical problems,” says Kevin Haar, CEO. The firm’s cloud-based computing technology helps customers like FedEx, financial institutions, and government agencies solve problems related to the analysis of data-intensive applications.
Appistry recently branched out to serve life scientists who analyze and manage the deluge of genomics data spewing from sequencers.
They hired biologic scientists like Richard Mazzarella, a member of the Human Genome Project, to guide the evolution into bioinformatics. “Now it’s hard to tell if we’re a life science or computer science company,” says Haar.
Appistry’s platform for genomics analysis is Ayrris/BIO™, an automated solution that transforms complex, unstructured sequencing data into understandable and clinically relevant results. Ayrris/BIO reflects the company’s new focus on the genomics field. “We fell in love with the genomics space and now it dominates our hearts and minds,” says Haar.
Ayrris/BIO applies cloud-like architectural principles to the challenge of extreme analytics involved in next-generation sequencing. Ayrris/BIO includes pipelines for human exome and whole genome human, bovine, maize, and other organisms.
Built specifically for the life science industry, Ayrris/BIO removes the technical burden from genomics discovery and analysis, and fully automates pipeline execution and data management, according to the company. The platform’s prebuilt pipelines for alignment, exome, whole-genome, and other analysis can be used out of the box or customized to meet the needs of individual researchers. Appistry’s life science team continues to enhance Ayrris/BIO and develop new approaches to help researchers to rapidly build, test, and use sequencing pipelines.
Research laboratories, contract research organizations, bioinformatic teams, and core facilities at national institutions may benefit from Ayrris/BIO, which can be acquired in two ways. Facilities with a large amount of sequencing data can obtain the software prebuilt and preconfigured running on an Appistry appliance. Or researchers can buy space and run an analysis on the cloud.
“We can run a whole-genome analysis for $250, which drives our common dream of a sub-$1,000 complete genome analysis,” says Sultan Meghji, vp of analytics applications.