This MATLAB-based graphical user interface (GUI) software assists in categorical phenotyping of facial photographs from study participants.
This software was developed as part of the following publication. If using it, please cite:
Adhikari, K. et al. A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation. Nat. Commun. 7:11616 doi: 10.1038/ncomms11616 (2016). Phenotypes and phenotype categories are derived from Ritz-Timme, S. et al. A new atlas for the evaluation of facial features: advantages, limits, and applicability. Int J Legal Med 125, 301-6 (2011).
A detailed pdf help file is included in the package.
This software was developed at University College London for use in the CANDELA project: https://www.ucl.ac.uk/biosciences/gee/candela/
Software developed by Kaustubh Adhikari.
Drawings by Macarena Fuentes-Guajardo and Elizabeth Guajardo Celsi.
For bug reports, or recommendations for improvement, please contact k.adhikari@ucl.ac.uk. In case of bugs, please also attach the ‘worklist.mat’ file and MATLAB error messages.
This software including the drawings is released for public use under the Creative Commons CC BY-NC-SA 4.0 license (Attribution-NonCommercial-ShareAlike 4.0 International).