Geneformics Launches the First Truly Scalable Genomics Data Compression Solution to Accelerate the Migration of Precision Medicine to the Cloud
Geneformics Data Systems has released Geneformics D, a distributed cloud compression solution for genomics data that increases the efficiency and speed of upload, download, storage and archiving by up to 10X and decreases cost by 90 percent.
Geneformics D is integrated into the cloud infrastructure, providing seamless and truly scalable performance, unlike existing applications that are added to the genomic workflows.
Based on lossless compression technology co-developed with the Weizmann Institute of Science, Geneformics D is an enterprise-grade Infrastructure as a Service (IaaS) for genomics cloud installations. With Geneformics D’s technology, precision medicine data from population sequencing, gene banks, hereditary, and rare disease, cancer, and genomics-based pharmaceutical efficacy research can be automatically and transparently compressed, saving time, bandwidth, and significant storage space.
“Precision medicine is making the migration of genomic processes to a cloud infrastructure attractive for healthcare and research organizations, due to scalability, sharing features and ease of use,” said Rafael Feitelberg, Geneformics CEO. “Now organizations can seamlessly scale with genomic compression in the cloud, while accelerating analyses and reducing storage requirements.”
“With a single, whole-genome human sample involving approximately 250-300GB of data, we are addressing a major challenge faced by NGS practitioners,” said Arik Keshet, Geneformics CTO and founder. “With Geneformics D, compressed genomics data requires one tenth of the storage space that would have otherwise been needed. Additionally, Geneformics D works seamlessly and does not require changes to data formats or APIs.”
Available for Amazon Web Services (AWS) with upcoming versions for other cloud providers, Geneformics D implements a distributed, compressed file system for the cloud. Geneformics D agents, installed on each compute instance, jointly implement an object-as-file, transparently compressed, standard file system for Linux. Unmodified applications are served with native format FASTQ and BAM files with on-the-fly decompression ensuring minimal impact on the bioinformatics pipeline.
Additional Geneformics D features include:
• Intelligent caching of decompressed file segment on instance-attached disks accelerating processes
• Seamless, virtually unbounded scale-out with the compute infrastructure.
• Patent-pending, automatic management of genomic storage on the cloud, directing data to the most cost-effective storage tier. This provides savings of up to 50 percent in addition to the compression savings, through fine-grained object storage tiering.
This article has been republished from materials provided by Geneformics Data System Ltd. Note: material may have been edited for length and content. For further information, please contact the cited source.
It's easy to take a lot for granted. Scientists do this when they study stress, the force per unit area on an object. Scientists handle stress mathematically by assuming it to have symmetry, but new supercomputer simulations show that at the atomic level, material stress doesn't behave symmetrically. The findings could help scientists design new materials such as glass or metal that doesn't ice up.READ MORE
In late 2017 DeepMind introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, beating a world-champion program in each case. Today, they announce the evalutation of AlphaZero, published in the journal Science, that confirms and updates those preliminary results.