displayHTS: a R package for displaying data and results from high-throughput screening experiments.

Area of Science:

• Bioinformatics
• Computational Biology
• Pharmacology

Background:

• High-throughput screening (HTS) generates large datasets requiring effective visualization.
• Standard visualization methods may not capture all critical features of HTS data.
• Accurate interpretation of HTS results is crucial for identifying potential drug candidates.

Purpose of the Study:

• To introduce the displayHTS R package for advanced visualization of HTS data.
• To provide novel graphical methods for HTS data exploration and hit selection.
• To enhance the understanding of HTS experimental outcomes through improved figures.

Main Methods:

• Implementation of recently developed visualization methods in an R package.
• Development of distinctive graphics including plate-well series plots, plate images, and dual-flashlight plots.
• Inclusion of commonly used figures such as volcano plots and plate correlation plots.

Main Results:

• The displayHTS package provides a comprehensive suite of tools for HTS data visualization.
• Novel plots facilitate the identification of patterns and outliers in screening data.
• Standard plots are also available for familiar data exploration.

Conclusions:

• The displayHTS R package significantly aids in the visualization and interpretation of HTS data.
• These visualization tools are critical for effective hit selection and analysis in drug discovery.
• The package enhances the ability to display important features of HTS data and results.