PT  - JOURNAL ARTICLE
AU  - Pablo Malmierca-Merlo
AU  - Rubén Sánchez-Garcia
AU  - Rubén Grillo-Risco
AU  - Irene Pérez-Díez
AU  - José F. Català-Senent
AU  - María de la Iglesia-Vayá
AU  - Marta R. Hidalgo
AU  - Francisco Garcia-Garcia
TI  - MetaFun: Unveiling sex differences in multiple omics studies through comprehensive functional meta-analysis
AID  - 10.1101/2021.07.13.451905
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.07.13.451905
4099  - http://biorxiv.org/content/early/2021/07/14/2021.07.13.451905.short
4100  - http://biorxiv.org/content/early/2021/07/14/2021.07.13.451905.full
AB  - Summary Sex and gender differences in different health scenarios has been thoroughly acknowledged in the literature, and yet, very scarcely analyzed. To fill the gap, here we present MetaFun, which allows to meta-analyze multiple omics datasets with a sex-based perspective, and to combine different datasets to gain major statistical power and to assist the researcher in understanding these sex differences in the diseases under study. Metafun is freely available at bioinfo.cipf.es/metafun Availability and implementation: MetaFun is available under http://bioinfo.cipf.es/metafun. The backend has been implemented in R and Java and the frontend has been developed using Angular.Supplementary information R code available at https://gitlab.com/ubb-cipf/metafunrCompeting Interest StatementThe authors have declared no competing interest.