At DNAlytics, we are confronted everyday to large data sets analysis. If you want to learn more about the technologies we master, read our data science technology page.

To support our data analysis efforts, we decided to develop and/or maintain a series of key software elements. You will find below several software elements that we develop and/or maintain and for which comments and feedbacks are welcome! Some of them are open-source: feel free to use them!

LiblineaR – an R package for large-scale linear modeling







jForest – an ensemble tree-based model library







REED – Rapid and Easy Evaluation of Datasets







BLISS – Biomarker List Interpretation Simple Software







Hercules – A software suite for biomanufacturing data analysis







Bricks – The core library underlying most of our analyses