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 implementation MetaFun 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
Contact fgarcia{at}cipf.es, mhidalgo{at}cipf.es
Supplementary information R code available at https://gitlab.com/ubb-cipf/metafunr
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
improved methods
