PheMaDB: A solution for storage,retrieval, and analysis of high throughput phenotype data |
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| Authors: | Wenling E Chang Keri Sarver Brandon W Higgs Timothy D Read Nichole ME Nolan Carol E Chapman Kimberly A Bishop-Lilly Shanmuga Sozhamannan |
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| Institution: | (1) Biotechnology, The MITRE Corporation, McLean, VA, USA;(2) Innovative Information Engineering and Biometrics, The MITRE Corporation, McLean, VA, USA;(3) Naval Medical Research Center, Biological Defense Research Directorate, Silver Spring, MD, USA and Henry M. Jackson Foundation, Rockville, MD, USA;(4) Department of Medicine, Division of Infectious Disease and Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA |
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| Abstract: | Background OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples
upon exposure to hundreds of growth conditions such as different metabolites and antibiotics over a time course of hours to
days. In order to manage the large amount of data produced from the OmniLog™ instrument, PheMaDB (Phenotype Microarray DataBase), a web-based relational database, was designed. PheMaDB enables efficient storage, retrieval and rapid analysis of the
OmniLog™ PM data. |
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