Key features

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Unique descriptors and mathematical algorithms
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High speed of predictions
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Easy-to-use interface
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Selection of the most predictive models
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Estimation which parts of a molecule provide positive and negative impact to the activity
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Saving GUSAR output predictions in SDF and CSV formats for subsequent analyses
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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.
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