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Compressed, Streamlined Genomics Data

In The News

press
16
AUG
2017

Aug 16, 2017 | Neil Versel

CHICAGO (GenomeWeb) – Earlier this month, startup IT company Geneformics Data Systems introduced Geneformics D, a distributed cloud compression system that promises to boost the speed of genomics data uploads, downloads, storage, and archiving by tenfold and reduce costs by 90 percent.
 

The initial release is currently integrated into Amazon Web Services infrastructure. Geneformics, which is based in Sunnyvale, California, and has its research and development operations in Petach Tikvah, Israel, said it is working on versions for other cloud platforms.

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The new product focuses on alleviating...

07
AUG
2017

Geneformics D improves the efficiency of cloud-based upload, download, storage and archiving by up to 10X.
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SUNNYVALE, Calif. – August 7, 2017 – Geneformics Data Systems Ltd., a leader in Genomics IT Infrastructures that advance the accessibility of transfer, storage and archiving of Next Generation Sequencing (NGS) data, today announced
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.
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Geneformics D is integrated into the cloud infrastructure, providing seamless and truly scalable
performance, unlike existing applications that are...

15
MAY
2017

Geneformics CEO Rafael Feitelberg will be presenting a session at Bio-IT World Thursday, May 25th. His session will address challenges in the transfer, storage an archiving of NGS data.
 
BOSTON - (BUSINESS WIRE) - Geneformics Data Systems Limited, a leader in Genomics IT Infrastructures that advance the accessibility of transfer, storage and archiving of Next Generation Sequencing (NGS), today announced that CEO Rafael Feitelberg will be addressing attendees at Bio-IT World Conference and Expo taking place in Boston.
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At the luncheon session titled “Optimized Scaling for NGS: Transfer, Storage and Archiving,” Feitelberg will discuss the IT challenges arising from...

04
MAY
2017

Here's what Geneformics' CEO Rafael Feitelberg and Dr. Warren Kaplan, Chief of Informatics at the Garvan Institute of Medical Research had to say to Technology Networks Senior Editor Jack Rudd in an article titled "Managing the Genomics Data Deluge".
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"Genomic data is one of the fastest growing datasets in the world. A recent Intel analysis stated that it would take 7.3 zettabytes, meaning 7.300,000,000,000 GB, of data to store the genomes of our global population. This is equal to 50 percent of all data on the internet in 2016 and does not factor in the data created when analysing and using this information.
 
Over time, genomics will play an increasingly important role in our healthcare, particularly in...

27
APR
2017

NGS has triggered a tidal wave of genomic data, whose footprint has rapidly expanded beyond the capacity of our existing storage. Storing and handling big data has become a critical bottleneck in the development of genomic medicine.
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Our very own Rafael Feitelberg, CEO, spoke along with Eran Segal, Professor at the Weizmann Institute of Science, Hákon Guðbjartsson, VP of Informatics and Edward Farmer EVP of Communications and New Ventures at WuXi NextCODE.
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Hosted in partnership with Front Line Genomics, we will explore the options to make giant datasets from sequencing more manageable.

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Check out the webinar here >>>

06
MAR
2017

Garvan Institute of Medical Research to Integrate Geneformics Technology Into its Genomic Data Storage and Archive Workflows for Research
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SUNNYVALE, Calif.– March 6, 2017
Geneformics Data Systems Limited, a leader in Genomics IT Infrastructures that advance the accessibility of transfer, storage and archiving of Next Generation Sequencing (NGS) today announced that the Garvan Institute of Medical Research will integrate Geneformics technology into its workflows. The Garvan Institute was one of the first centers in the world to acquire advanced next generation sequencing technology that is capable of sequencing up to 18,000 genomes a year.
 
Storage and archive of genomic data is becoming a huge challenge for the industry with a single whole human genome (WGS) generating approximately 300GB of raw, uncompressed data. Other compression technologies can reduce file size between 25 and 33 percent, while Geneformics true lossless technology compression reduces whole genome data size by up to 95 percent. Integrating Geneformics workflows means genomic data occupies a smaller footprint, which...

08
FEB
2017

WuXi NextCODE plans to integrate Geneformics technology to optimize storage, archiving and transfer of sequence data for its own testing solutions and partners worldwide
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SUNNYVALE, Calif. February 07, 2017
Geneformics Data Systems Limited, a leader in Genomics IT Infrastructures that advance the accesability of transfer, storage and archiving of next generation sequencing data, and WuXi NextCODE, the global contract genomics organization enabling precision medicine around the world, today announced a collaborative effort to integrate Geneformics technology into WuXi NexCODE’s workflows.
 
Geneformics leverages proprietary, optimized compression technologies to streamline the storage and sharing of genomics data in the cloud and on-premise. WuXi NextCODE’s database and analytics underpin the world’s leading population-scale precision medicine projects as well as pioneering diagnostics and wellness solutions on four continents. Together the companies intend to improve the efficiency of storing and transferring large-scale genomic data globally and increase the potential benefit of these datasets to patients...

Press Releases

30
OCT
2017

October 30, 2017 | Arik Keshet

Arik Keshet, our CTO, discusses the challenges involved in effectively using cloud services for large-scale genomics computing, and how those can be addressed using genomics-tuned, lossless compression, object-as-file services and other technologies. Arik's conclusion is that re-thinking established practices can transform the experience and completely change the economics of migrating genomics work to the cloud.

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