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Quantification and Clustering of Phenotypic Screening Data Using Time-series Analysis for Chemotherapy of Schistosomiasis by Hyokyeong Lee; Asher Moody-Davis; Utsab Saha; Brian M Suzuki; Daniel Asarnow; Steven Chen; Michelle Arkin; Conor R Caffrey; Rahul Singh is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Quantification and Clustering of Phenotypic Screening Data Using Time-series Analysis for Chemotherapy of Schistosomiasis about?
## Background Neglected tropical diseases, especially those caused by helminths, constitute some of the most common infections of the world's poorest people. Development of techniques for automated, high-throughput drug screening against these diseases, especially in whole-organism settings, constitutes one of the great challenges of modern drug discovery. ## Method We present a method for enabling high-throughput phenotypic drug screening against diseases caused by helminths with a focus on schistosomiasis. The proposed method allows for a quantitative analysis of the systemic impact of a drug molecule on the pathogen as exhibited by the complex continuum of its phenotypic responses. This method consists of two key parts: first, biological image analysis is employed to automatically monitor and quantify shape-, appearance-, and motion-based phenotypes of the parasites. Next, we represent these phenotypes as time-series and show how to compare, cluster, and quantitatively reason about them using techniques of time-series analysis. ## Results We present results on a number of algorithmic issues pertinent to the time-series representation of phenotypes. These include results on appro
Who reads Quantification and Clustering of Phenotypic Screening Data Using Time-series Analysis for Chemotherapy of Schistosomiasis?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Hyokyeong Lee; Asher Moody-Davis; Utsab Saha; Brian M Suzuki; Daniel Asarnow; Steven Chen; Michelle Arkin; Conor R Caffrey; Rahul Singh
- Publisher
- BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2000-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1471-2164)
- Published
- 2012
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)