Section: New Software and Platforms


Keywords: Bioinformatics - Statistics - Data visualization - Data modeling

WellFARE is a Python library implementing linear inversion methods for the reconstruction of gene expression profiles from fluorescent or luminescent reporter gene data. As input, WellFARE 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 functions 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. WellFARE is the computational core of the web application WellInverter .

  • Participants: Johannes Geiselmann, Hidde de Jong, Michel Page, Delphine Ropers, Valentin Zulkower

  • Partners: Université Joseph Fourier, Université Pierre Mendès-France

  • Contact: Hidde de Jong

  • URL: https://github.com/ibis-inria/wellfare