Key features
Unique descriptors and mathematical algorithms
High speed of predictions
Easy-to-use interface
Selection of the most predictive models
Estimation which parts of a molecule provide positive and negative impact to the activity
Saving GUSAR output predictions in SDF and CSV formats for subsequent analyses
Uploading of SD files for batch predictionsNGS data analysis is supported by the platform. ChIP-seq data sets containing in vivo transcription factor binding sites or methylation results can be analyzed with the help of ready-made workflows. Galaxy tools are integrated, supporting RNA-seq data analysis, and many functions more.
