Find out about the latest news on genomics and our projects.
HIMSS Insights speaks to Mikel Hernaez, director of computational genomics at the Carl R. Woese Institute for Genomic Biology at the University of Illinois, who is part of a standardisation initiative, in which the Moving Picture Expert Group (MPEG) and the ISO Technical Committee 276 are joining forces: “Our goal is to produce MPEG-G, a…
We are pleased to announce that GenomSoft parent company GenomSys has been selected in the Bilan/UBS “50 Swiss startups in which to invest 2019”. For the 7th year, the French-speaking Swiss reference for business news Bilan and its partners (Startupticker, Innosuisse, BioAlps, CleantechAlps, Innovaud, MassChallenge, Kickstart…) are publishing the annual special print issue “50 Swiss…
On February 15th Mikel Hernaez, the current Director for Computational Genomics at the Carl R. Woese Institute for Genomic Biology at the University of Illinois at Urbana-Champaign (UIUC) will speak about the ISO-based MPEG-G standard for genomic information representation at the Compression Workshop 2019 at Stanford University. Abstract: The MPEG-G standardization project is the largest coordinated international effort…
WHO WE ARE
Our team is composed by experts with extensive experience in bioinformatics, information theory, enterprise software development and project management for the implementation of mission-critical systems in the domain of digital signal processing, telecommunications, information security, health-care and avionics. We have experience in software certification for safety-critical applications.
MISSION & VISION
Our mission is to enable the progress of large scale genomic medicine through the development of MPEG-G, the new ISO standard for Genomic Information Representation. The MPEG-G standard has been designed by an international consortium of organizations aiming at addressing the problems and limitations of current technologies and products towards a truly efficient and economical handling of genomic information.
We are working to improve genomic applications with advanced features of data access and handling as well as with a dramatic reduction of both storage costs and transfer time from sequencing facilities to storage and/or analysis sites. Efficient data processing is enabled by better compression as well as by better data organization and access/sharing.
Our goal is to provide new systems and solutions for efficient genomic information processing, thus enabling large scale applications, reducing IT storage costs and facilitating data transport and sharing.
Enabling the digitalization of personalized medicine
We aim to create the technology platform needed to sustain high-performance compression, transmission and processing of genomic data, in order to reduce the storage size, increase transmission speed and reduce the cost of the bandwidth connecting the database to the processing facilities.
We are developing a new generation of genomic information compressors exploiting the available expertise in digital information processing and entropy coding.
Efficient Data Access
We are working on a new genomic data format that supports most stages of existing sequencing and analysis pipelines, with a great advantage over the current practice that uses different file formats at each stage.
Genomic Data Transport
We are improving a genomic data transport layer which provide essential features such as streaming capabilities, incremental update of data and metadata.