| Autor: |
Pablo Malmierca-Merlo, Rubén Sánchez-Garcia, Rubén Grillo-Risco, Irene Pérez-Díez, José F. Català-Senent, Borja Gómez-Cabañes, Gonzalo Anton-Bernat, Helena Gómez-Martínez, María de la Iglesia-Vayá, Marta R. Hidalgo, Francisco Garcia-Garcia |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.1101/2021.07.13.451905 |
| Popis: |
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 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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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