DEI / Neuroimaging Centre Attribution Yes Partnership University of Padova / King’s College London NITRC MENGA: Multimodal Environment for Neuroimaging and Genomic Analysis MATLAB Mattia Veronese MENGA is a platform for the integration of imaging data and Allen Human Brain Atlas mRNA data. 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. Software: http://fair.dei.unipd.it/require-software/ 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 2016-4-27 MENGA3.1 2016-2-18 MENGA3.0 2016-1-13 MENGA2.0 MENGA: Multimodal Environment for Neuroimaging and Genomic Analysis English, NIfTI-1, MATLAB, End Users, ANALYZE, Computational Neuroscience, Attribution http://www.nitrc.org/projects/menga/, http://http://fair.dei.unipd.it/software/ mattia.veronese@kcl.ac.uk