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bioRxiv · 10.1101/2021.07.13.451905

MetaFun: Unveiling sex differences in multiple omics studies through comprehensive functional meta-analysis

Malmierca-Merlo, P.·Sanchez-Garcia, R.·Grillo-Risco, R.·Perez-Diez, I.·Catala-Senent, J. F.·de la Iglesia-Vaya, M.·Hidalgo, M. R.·Garcia-Garcia, F.
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Abstract

While 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 at http://bioinfo.cipf.es/metafun The back end was implemented in R and Java, and the front end was developed using Angular Contactfgarcia@cipf.es, mhidalgo@cipf.es Supplementary informationR code available at https://gitlab.com/ubb-cipf/metafunr

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Malmierca-Merlo, P., Sanchez-Garcia, R., Grillo-Risco, R., Perez-Diez, I., Catala-Senent, J. F., de la Iglesia-Vaya, M., Hidalgo, M. R., Garcia-Garcia, F.. 2021-07-14. MetaFun: Unveiling sex differences in multiple omics studies through comprehensive functional meta-analysis. https://doi.org/10.1101/2021.07.13.451905

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