MetaFun: Unveiling Sex-based Differences in Multiple Transcriptomic Studies through Comprehensive Functional Meta-analysis

AbstractWhile sex-based differences in various health scenarios have been thoroughly acknowledged in the literature, we lack a deep analysis of sex as a variable in this context. To fill this knowledge gap, we created MetaFun as an easy-to-use web-based tool to meta-analyze multiple transcriptomic datasets with a sex-based perspective to gain major statistical power and biological soundness. Furthermore, MetaFun can be used to perform case-control meta-analyses, allowing researchers with basic programming skills to access this methodology.Availability and implementationMetaFun is freely available athttp://bioinfo.cipf.es/metafunThe back end was implemented in R and Java, and the front end was developed using AngularContactfgarcia@cipf.es,mhidalgo@cipf.esSupplementary informationR code available athttps://gitlab.com/ubb-cipf/metafunr