Publications

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Journal Article
Ibáñez M, Carbonell-Caballero J, Such E, et al. The modular network structure of the mutational landscape of Acute Myeloid Leukemia. PLoS One. 2018;13(10):e0202926. doi:10.1371/journal.pone.0202926.
Fornes O, Aragues R, Espadaler J, Marti-Renom MA, Sali A, Oliva B. ModLink+: Improving fold recognition by using protein-protein interactions. Bioinformatics. 2009. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19357100.
Hidalgo MR, Amadoz A, Cubuk C, Carbonell-Caballero J, Dopazo J. Models of cell signaling uncover molecular mechanisms of high-risk neuroblastoma and predict disease outcome. Biol Direct. 2018;13(1):16. doi:10.1186/s13062-018-0219-4.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Rizza S, Conesa A, Juarez J, et al. Microarray analysis of Etrog citron (Citrus medica L.) reveals changes in chloroplast, cell wall, peroxidase and symporter activities in response to viroid infection. Molecular plant pathology. 2012. doi:10.1111/j.1364-3703.2012.00794.x.
Dopazo J, Zanders E, Dragoni I, Amphlett G, Falciani F. Methods and approaches in the analysis of gene expression data. J Immunol Methods. 2001;250:93-112. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11251224.
Martínez-Nava GAngélica, Altamirano-Molina E, Vázquez-Mellado J, et al. Metatranscriptomic analysis reveals gut microbiome bacterial genes in pyruvate and amino acid metabolism associated with hyperuricemia and gout in humans. Sci Rep. 2025;15(1):9981. doi:10.1038/s41598-025-93899-1.
Martínez-Nava GAngélica, Altamirano-Molina E, Vázquez-Mellado J, et al. Metatranscriptomic analysis reveals gut microbiome bacterial genes in pyruvate and amino acid metabolism associated with hyperuricemia and gout in humans. Sci Rep. 2025;15(1):9981. doi:10.1038/s41598-025-93899-1.
Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Yung S, Ledran M, Moreno-Gimeno I, et al. Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells. Hum Mol Genet. 2011;20(24):4932-46. doi:10.1093/hmg/ddr431.
Alloza E, Al-Shahrour F, Cigudosa JC, Dopazo J. A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Medical Genomics. 2011;4:37. doi:10.1186/1755-8794-4-37.
Alloza E, Al-Shahrour F, Cigudosa JC, Dopazo J. A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Medical Genomics. 2011;4:37. doi:10.1186/1755-8794-4-37.
Conde L, Montaner D, Burguet-Castell J, et al. ISACGH: a web-based environment for the analysis of Array CGH and gene expression which includes functional profiling. Nucleic Acids Res. 2007;35:W81-5. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17468499.
Conde L, Montaner D, Burguet-Castell J, et al. ISACGH: a web-based environment for the analysis of Array CGH and gene expression which includes functional profiling. Nucleic Acids Res. 2007;35(Web Server issue):W81-5. doi:10.1093/nar/gkm257.
Terol J, Ibañez V, Carbonell J, et al. Involvement of a citrus meiotic recombination TTC-repeat motif in the formation of gross deletions generated by ionizing radiation and MULE activation. BMC Genomics. 2015;16:69. doi:10.1186/s12864-015-1280-3.
Terol J, Ibañez V, Carbonell J, et al. Involvement of a citrus meiotic recombination TTC-repeat motif in the formation of gross deletions generated by ionizing radiation and MULE activation. BMC genomics. 2015;16:69. doi:10.1186/s12864-015-1280-3.
Wilkinson MD, Senger M, Kawas E, et al. Interoperability with Moby 1.0–it’s better than sharing your toothbrush!. Brief Bioinform. 2008;9:220-31. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18238804.
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.
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.
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.
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.
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.