Year: 2011
Type: conference-paper
Abstract: Mitosis is an essential process within the cell life cycle, and research in this field has many applications in medicine. In order to study the proteins involved in mitosis and their function, small molecules (compounds) are required which inhibit the protein under investigation and hence allow to switch off the respective protein. For this purpose, high-throughput screening is performed, where thousands of compounds from commercially available libraries are probed using optical readouts. The vast amounts of data generated in high-throughput screening require dedicated data analysis and visual analytics approaches for evaluation. In this work, a versatile framework is presented which provides data preprocessing and visualization approaches for the analysis of high-throughput screening data.
Source: KOPS (University of Konstanz)
Institution: University of Konstanz
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W779775901