MENGA aims to provide a comprehensive environment to investigate correlation patterns between various imaging modalities and gene expression profiles based on the Allen Brain Atlas.
The project comes from a collaboration between the Department of Information Engineering (DEI), University of Padova with the Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College, London (UK).
For any enquiries, please contact Gaia Rizzo, Mattia Veronese or Paul Expert.
We have now published the reference paper of MENGA on PlosOne, in which all the aspects of the software and its functionalities are described in details: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148744
Gaia R (2020). MENGA: Multimodal Environment for Neuroimaging and Genomic Analysis (https://www.mathworks.com/matlabcentral/fileexchange/56759-menga-multimodal-environment-for-neuroimaging-and-genomic-analysis), MATLAB Central File Exchange. Retrieved .