A field undergoing profound transformations
The arrival of high throughput DNA sequencing technology has created a deluge of biological data, thrusting scientists into the digital age. The consequences of this information tsunami are far-reaching and have complexified the management, visualization and analysis of the associated data. Yet this mass of data contains infinite potential for great discoveries. To exploit these possibilities, the mastery of IT innovations is crucial.
Enancio helps biologists make the digital transition while keeping their focus on biology.
Thanks to automatic workflows of the bioinformatic modules, results are obtained in a few clicks without pre-configuration or third-party software installation. The repeatability of analyses is improved.
We use our expertise in the processing of massive data to make analysis workflows. Each one of them is specially designed for fast performance with low computing resource requirements.
Each of the bioinformatic modules in the analysis workflows is accessible within a dedicated directory. The exchanges between these modules are standardized to promote their interoperability.
With technology developed by INRIA, the Enancio compression tool allows you to reduce fastq file size by a factor of 15 while keeping the whole file : sequencers, headers, quality fields and paired reads. Smart quality smoothing allows for good compression with no loss of information.
The file format is designed to guarantee reliable archiving and rapid use. Files are readable with no pre-redecompression.
The vLab integrates heterogeneous data by structuring it according to ontology terms (i.e. EDAM), facilitating the accessibility of associated knowledge.
The vLab is the same for all the users within a community. This makes it a powerful tool for the diffusion of bioinformatic tools and for analysis repeatability, for the management of shared data bases within the community and for the integration of feedback and subsequent upgradability of the platform.
Yvan Le Bras
Data management and analysis
PhD in Biology
12 years experience in massive data analysis
PhD in Computer Science
10 years experience in algorithmics for bioinformatics
Jennifer Del Giudice
6 years experience in business development
Software platform expert
PhD in Computer Science
12 years experience in software development, cloud and big data.
Computer Science engineer
13 years experience from development to production
the Initiative France granted the Initiative Remarquable Loan to Enancio
the Brittany Region granted the Initiative Rennes Loan to Enancio
Creation of Enancio SAS !
The Brittany Region granted the PHAR loan to Enancio.
First open-source contribution with the integration of MultiQC to Galaxy.
Grant from Jean Guyomarc’h Foundation.
The project is incubated by Emergys.