Sarileo provides an end-user application targeted to HCS analysis, built on a biostatistical framework that turns complex data into knowledge about compounds, assays and targets. Based on flexible analysis options, Sarileo extracts meaningful results from high content screens, taking the multivariate nature of data into account.
Exploiting the information of HCS data to the fullest, relevant image parameters are identified and combined for superior precision, compared to a single readout. This allows the identification of specific and selective hits using HCS markers.
The in-depth analysis of HCS screens with Sarileo paves the way to better reproducibility and information, for confidently ranking structural classes according to their lead potential.
Module Highlights:
- Clustering and ranking of readouts by intrinsic relationships
- Profile-based hit selection, discriminating selective compounds from those producing side effects
- Multivariate filtering using multiple HCS readouts to zoom in on high-quality hits
- Compound classification to simultaneously triage compounds based on multiple HCS measurements
- Large panel of bio-statistical analyses for diverse data sets
- Audit trail for reproducing analysis workflows