Section: New Software and Platforms
Keywords: Bioinformatics - Statistics - Data visualization - Data modeling
WellInverter is a web application that implements linear inversion methods for the reconstruction of gene expression profiles from fluorescent or luminescent reporter gene data. As input, WellInverter reads the primary data file produced by a 96-well microplate reader, containing time-series measurements of the absorbance (optical density) as well as the fluorescence and luminescence intensities in each well (if available). Various modules exist to analyze the data, in particular for detecting outliers, subtracting background, estimating growth rates, promoter activities and protein concentrations, visualizing expression profiles, synchronizing replicate profiles, etc. The computational core of the web application consists of the Python library WellFARE .
Participants: Johannes Geiselmann, Hidde de Jong, Michel Page, Delphine Ropers, Valentin Zulkower
Partners: Université Joseph Fourier, Université Pierre Mendès-France