ISO MPEG-G
The Universal Language
for Genomics.
GenomSys contributed decisively to the development of the new ISO MPEG-G standard, the most interoperable and safe technology for genomic data handling.
Safer, more precise, easier to consult and share.
Thanks to this new standard, laboratories, clinics, and research centers can finally write, read and share data using a mutual syntax. The intuitiveness, reliability, and reproducibility of this technology takes personal genomics to the next level.
Technology Benefits
International
Open Standard
The new genomic Standard enables everyone to write its own interoperable code and provides independence from any company’s strategy or continuing support.
Single
Unified Syntax
For all genomic-connected file formats (unaligned, aligned, reference, reports,…) to assure the highest data integrity and interoperability.
Efficient
Storage Size
Enabling cost savings for organizations handling large volumes of genomic data, particularly for whole-exome and whole-genome datasets.
Built-in
Security Elements
Strengthening privacy protection of sensitive individual genomic data: possibility to encrypt natively within the file and grant different access permissions by intervals.
Rapid
Selective Access
MPEG-G enables selecting and decoding individual bases directly from the file without sequentially reading it, resulting in reducing latency running the analysis.
Advanced Genomic Analysis
GenomSys is widening the reach of advanced genomic analysis, the basis for any precision medicine application.
Since the development of NGS technologies (Next-Generation Sequencing), the cost of genome sequencing has been dramatically decreasing and continues to do so at a faster pace than microprocessors’ Moore’s Law. The past few years have hence seen the development of several methodologies and software to analyze the resulting data, however in proprietary formats, requiring transcoding to be processed and often with complex parametrization requirements and control panels.
GenomSys is further developing such tools to work directly with data in MPEG-G format, reducing pre-processing requirements, increasing efficiency and worldwide applicability. The resulting pipelines will also feature user friendly dashboards for parametrization and usage, and can be optimized to run in mobile environments, i.e., on everyone’s individual smartphone
Genomic Corner
Trends in genetic analysis - The rise of Whole Genome, Whole Exome and virtual panels… ... April 25, 2021
Genetic analysis how is it currently done? April 23 2021
Why does DNA matter for society? April 22 2021
Related projects
Gen coder Eu project
The GenCoder project aims at implementing the first prototype of MPEG-G compliant encoder and decoder for efficient compression, storage, transport and analysis of genome sequencing data
Efficient Genomic Tools
GenomSys is collaborating with VItal-IT, the High Performance Computing center of the Swiss Institute of Bioinformatics, and the EPFL on a project that plans the development of the technology for a new generation of tools and devices providing efficient compression, storage, transport and manipulation of genomic data. The new technology will be the backbone of a class of products conceived to implement genomic applications with new features for data access and handling as well as with a dramatic reduction of storage costs supporting transfer from sequencing facilities to storage and/or analysis sites.
MPEG-G powered analysis
In collaboration with the Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana Champaign, GenomSys is developing the first version of the popular toolkit developed by the Broad Institute which is able to process compressed MPEG-G bitstreams.
MEGAPIPELINE
MEGAPIPELINE is developing a tool suite of ISO/IEC 23092 (MPEG-G) compliant software applications providing compression, storage, transport and manipulation of genomic data. The developed software components are integrated in genome analysis pipelines to enable new processing features, a reduction of storage costs and data streaming capabilities to connect sequencing facilities to storage or analysis sites.
Collaborations
