Conceptual schema of miRNA's expression: Using efficient information systems practices to manage and analyse data about miRNA expression studies in breast cancer. - Verónica Burriel; Oscar Pastor 001; María Peña-Chilet; Maria T. Martinez; Gloria Ribas (RCIS, 2016)

Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models. - Marina Esteban-Medina; María Peña-Chilet; Carlos Loucera; Joaquín Dopazo (BMC Bioinform., 2019)

Mechanistic modeling of the SARS-CoV-2 disease map. - Kinza Rian; Marina Esteban-Medina; Marta R. Hidalgo; Cankut Çubuk; Matias M. Falco; Carlos Loucera; Devrim Gunyel; Marek Ostaszewski; María Peña-Chilet; Joaquín Dopazo (BioData Min., 2021)

A comprehensive database for integrated analysis of omics data in autoimmune diseases. - Jordi Martorell-Marugan; Raúl López-Domínguez; Adrián García-Moreno; Daniel Toro-Domínguez; Juan Antonio Villatoro-García; Guillermo Barturen; Adoración Martín-Gómez; Kevin Troulé; Gonzalo Gómez-López; Fátima Al-Shahrour; Víctor González-Rumayor; María Peña-Chilet; et al. (BMC Bioinform., 2021)

CSVS, a crowdsourcing database of the Spanish population genetic variability. - María Peña-Chilet; Gema Roldán; Javier Perez-Florido; Francisco M. Ortuño; Rosario Carmona; Virginia Aquino; Daniel López-López; Carlos Loucera; Jose Luis Fernandez-Rueda; Asunción Gallego; Francisco García-García 002; Anna González-Neira; et al. (Nucleic Acids Res., 2021)

A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. - Martín Garrido-Rodriguez; Daniel López-López; Francisco M. Ortuño; María Peña-Chilet; Eduardo Muñoz; Marco A. Calzado; Joaquín Dopazo (PLoS Comput. Biol., 2021)

Visualization of automatically combined disease maps and pathway diagrams for rare diseases. - Piotr Gawron; David Hoksza; Janet Piñero; María Peña-Chilet; Marina Esteban-Medina; Jose Luis Fernandez-Rueda; Vincenza Colonna; Ewa Smula; Laurent Heirendt; François Ancien; Valentin Grouès; Venkata P. Satagopam; et al. (Frontiers Bioinform., 2023)