ORIGAMI · cOmpRession of Genomic dAta to facilitate precision MedIcine

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.