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Wilkinson MD, Senger M, Kawas E, et al. Interoperability with Moby 1.0--it's better than sharing your toothbrush!. Brief Bioinform. 2008;9(3):220-31. doi:10.1093/bib/bbn003.
Moschen S, Di Rienzo JA, Higgins J, et al. Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.). Plant Mol Biol. 2017;94(4-5):549-564. doi:10.1007/s11103-017-0625-5.
Moschen S, Luoni SBengoa, Di Rienzo JA, et al. Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower. Plant Biotechnol J. 2016;14(2):719-34. doi:10.1111/pbi.12422.
Gundogdu P, Loucera C, Alamo-Alvarez I, Dopazo J, Nepomuceno I. Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data. BioData Min. 2022;15(1):1. doi:10.1186/s13040-021-00285-4.
Casimiro-Soriguer CS, Perez-Florido J, Robles EA, et al. The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic. Sci Rep. 2024;14(1):19200. doi:10.1038/s41598-024-70107-0.
Garcia-Garcia F, Panadero J, Dopazo J, Montaner D. Integrated gene set analysis for microRNA studies. Bioinformatics. 2016;32(18):2809-16. doi:10.1093/bioinformatics/btw334.
Németh A, Conesa A, Santoyo-López J, et al. Initial genomics of the human nucleolus. PLoS genetics. 2010;6:e1000889. doi:10.1371/journal.pgen.1000889.
Bleda M, Medina I, Alonso R, De Maria A, Salavert F, Dopazo J. Inferring the regulatory network behind a gene expression experiment. Nucleic Acids Res. 2012;40(Web Server issue):W168-72. doi:10.1093/nar/gks573.
Sebastián-Leon P, Carbonell J, Salavert F, Sánchez R, Medina I, Dopazo J. Inferring the functional effect of gene expression changes in signaling pathways. Nucleic Acids Res. 2013;41(Web Server issue):W213-7. doi:10.1093/nar/gkt451.
Torrent-Vernetta A, Gaboli M, Castillo-Corullón S, et al. Incidence and Prevalence of Children's Diffuse Lung Disease in Spain. Arch Bronconeumol. 2022;58(1):22-29. doi:10.1016/j.arbres.2021.06.001.
Bravo-Gil N, Méndez-Vidal C, Romero-Pérez L, et al. Improving the management of Inherited Retinal Dystrophies by targeted sequencing of a population-specific gene panel. Sci Rep. 2016;6:23910. doi:10.1038/srep23910.
Dopazo J, Maya-Miles D, García F, et al. Implementing Personalized Medicine in COVID-19 in Andalusia: An Opportunity to Transform the Healthcare System. J Pers Med. 2021;11(6). doi:10.3390/jpm11060475.
García-León FJavier, Villegas-Portero R, Goicoechea-Salazar JAntonio, Muñoyerro-Muñiz D, Dopazo J. [Impact assessment on data protection in research projects]. Gac Sanit. 2020;34(5):521-523. doi:10.1016/j.gaceta.2019.10.006.
Palomero L, Galván-Femenía I, de Cid R, et al. Immune Cell Associations with Cancer Risk. iScience. 2020;23(7):101296. doi:10.1016/j.isci.2020.101296.
Carrero R, Cerrada I, Lledó E, et al. IL1β induces mesenchymal stem cells migration and leucocyte chemotaxis through NF-κB. Stem Cell Rev Rep. 2012;8(3):905-16. doi:10.1007/s12015-012-9364-9.
Luzón-Toro B, Bleda M, Navarro E, et al. Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas. BMC medical genomics. 2015;8:83. doi:10.1186/s12920-015-0160-7.
Luzón-Toro B, Bleda M, Navarro E, et al. Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas. BMC Medical Genomics. 2015;8:83. doi:10.1186/s12920-015-0160-7.
Mavillard F, Perez-Florido J, Ortuno FM, et al. The Iberian Roma Population Variant Server (IRPVS). J Genet Genomics. 2024. doi:10.1016/j.jgg.2024.03.006.
H
Prado-Lopez S, Conesa A, Armiñán A, et al. Hypoxia promotes efficient differentiation of human embryonic stem cells to functional endothelium. Stem Cells. 2010;28(3):407-18. doi:10.1002/stem.295.
Tárraga J, Gallego A, Arnau V, Medina I, Dopazo J. HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0966-0.
Tárraga J, Gallego A, Arnau V, Medina I, Dopazo J. HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC bioinformatics. 2016;17:107. doi:10.1186/s12859-016-0966-0.
Moura DS, Mondaza-Hernandez JL, Sanchez-Bustos P, et al. HMGA1 regulates trabectedin sensitivity in advanced soft-tissue sarcoma (STS): A Spanish Group for Research on Sarcomas (GEIS) study. Cell Mol Life Sci. 2024;81(1):219. doi:10.1007/s00018-024-05250-y.
Götz S, García-Gómez JMiguel, Terol J, et al. High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 2008;36(10):3420-35. doi:10.1093/nar/gkn176.
Ortuno FM, Loucera C, Casimiro-Soriguer CS, et al. Highly accurate whole-genome imputation of SARS-CoV-2 from partial or low-quality sequences. Gigascience. 2021;10(12). doi:10.1093/gigascience/giab078.
Hidalgo MR, Cubuk C, Amadoz A, Salavert F, Carbonell-Caballero J, Dopazo J. High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes. Oncotarget. 2017;8(3):5160-5178. doi:10.18632/oncotarget.14107.