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BMCBI
2011

PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data

8 years 4 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
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. Description: PheMaDB allows the user to quickly identify records of interest for data analysis by filtering with a hierarchical ordering of Project, Strain, Phenotype, Replicate, and Temperature. PheMaDB then provides various statistical analysis options to identify specific growth pattern characteristics of the experimental strains, such as: outlier analysis, negative controls analysis (signal/background calibration), bar plots, pearson’s correlation matrix, gr...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T
Added 28 May 2011
Updated 28 May 2011
Type Journal
Year 2011
Where BMCBI
Authors Wenling E. Chang, Keri Sarver, Brandon W. Higgs, Timothy D. Read, Nichole M. E. Nolan, Carol E. Chapman, Kimberly A. Bishop-Lilly, Shanmuga Sozhamannan
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