Project description DEENESFRITPL A health boost for genomic data Healthcare is plagued by the challenge of inadequate treatments, with 3 out of 5 failing to deliver desired results. Enter Personalised Medicine, a discipline that is key to fixing these inefficiencies. However, it faces a major hurdle: astronomical volumes of numerical genomic data generated during DNA-based personalised diagnostics. In this context, the EU-funded ORIGAMI project will develop an algorithm to compress genomic data to enhance data transfer, storage, and analysis speed and precision. In a market projected to reach a staggering EUR 2 billion by 2025, it’s important to handle massive amounts of data. From improved compression rates and faster e-transfers to lighter storage and enhanced analysis, ORIGAMI will bring hope for a future where personalised medicine can thrive. Show the project objective Hide the project objective Objective Healthcare is a worldwide challenge. To fight diseases, medicated treatments are common. However, statistics show that 3 out of 5treatments are currently inadequate. Personalised Medicine is one of the fundamental discipline to fix those inefficient treatments.Based on DNA, genomic sequencing is performed to achieve a personalised diagnostic for the patient. Unfortunately, this type ofmedicine encounters some limitations. One of them is the astronomical amount of numerical genomic data that it generates. Withthese volumes, transferring, storing, archiving and analysing the data become an issue. To counteract these issues, ENANCIO hasdeveloped an algorithm, called Lena, to compress genomic data and improve the entire genomic data workflow. ENANCIO aims toprovide a solution to improve the transfer and storage of those data, but also to improve speed and precision of data analysis. Thereis an urgent need to break down the barriers that exist by giving a genomic data compression solution which considers the entiregenomic data workflow. Currently, no compression solution adresses the entire dataflow. Such a technology is a new challenge.Thanks to artificial intelligent value smoothing technology, ENANCIO aims to bring the only one technology improving the entirevalue chain of the genomic data, from the improvement of the compression rate and compression time, allowing a faster e-transferand a lighter storage, to the improvement of the time and precision of analysis. Genomic data market has shown a fast raise and willreach 2 billion € in 2025. ENANCIO addresses two categories of customers, private and academic sequencing platforms who managethousands giga bytes of data. During ORIGAMI project, ENANCIO aims to study the feasibility of the algorithm to fit with the latestsequencers on the market, NovaSeq platform from Illumina (90% of market share). This new platform will be the standard oftomorrow, justifying the need of compatibility with LENA algorithm. Fields of science natural sciencescomputer and information sciencesdata sciencenatural sciencesbiological sciencesgeneticsDNAmedical and health sciencesclinical medicineoncologybreast cancermedical and health scienceshealth sciencespersonalized medicinenatural sciencesbiological sciencesgeneticsgenomes Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-1 Funding Scheme SME-1 - SME instrument phase 1 Coordinator ENANCIO Net EU contribution € 50 000,00 Address 2 BIS RUE DE LA CHATAIGNERAIE 35510 CESSON-SEVIGNE France See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Bretagne Bretagne Ille-et-Vilaine Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 71 429,00
