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De Baets G, Van Durme J, Reumers J, et al. SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants. Nucleic Acids Res. 2012;40(Database issue):D935-9. doi:10.1093/nar/gkr996.
De Baets G, Reumers J, Blanco JDelgado, Dopazo J, Schymkowitz J, Rousseau F. An evolutionary trade-off between protein turnover rate and protein aggregation favors a higher aggregation propensity in fast degrading proteins. PLoS computational biology. 2011;7:e1002090. doi:10.1371/journal.pcbi.1002090.
de Castro-Miró M, Pomares E, Lorés-Motta L, et al. Combined genetic and high-throughput strategies for molecular diagnosis of inherited retinal dystrophies. PloS one. 2014;9:e88410. doi:10.1371/journal.pone.0088410.
de la Rosa LRodríguez, Sánchez-Calderón H, Contreras J, et al. Comparative gene expression study of the vestibular organ of the Igf1 deficient mouse using whole-transcript arrays. Hearing research. 2015. doi:10.1016/j.heares.2015.08.016.
Del Pozo MGonzález-, Bravo-Gil N, Méndez-Vidal C, et al. Re-evaluation casts doubt on the pathogenicity of homozygous USH2A p.C759F. Am J Med Genet A. 2015;167(7):1597-600. doi:10.1002/ajmg.a.37003.
del Pozo MGonzález-, Méndez-Vidal C, Santoyo-López J, et al. Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet–Biedl family. Molecular Genetics & Genomic Medicine. 2014;2:124-133. doi:10.1002/mgg3.50.
del Pozo MGonzález-, Méndez-Vidal C, Santoyo-López J, et al. Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet-Biedl family. Mol Genet Genomic Med. 2014;2(2):124-33. doi:10.1002/mgg3.50.
del Pozo MGonzález-, Méndez-Vidal C, Bravo-Gil N, et al. Exome sequencing reveals novel and recurrent mutations with clinical significance in inherited retinal dystrophies. PLoS One. 2014;9(12):e116176. doi:10.1371/journal.pone.0116176.
del Pozo MGonzález-, Borrego S, Barragán I, et al. Mutation screening of multiple genes in Spanish patients with autosomal recessive retinitis pigmentosa by targeted resequencing. PLoS One. 2011;6(12):e27894. doi:10.1371/journal.pone.0027894.
Desoignies N, Carbonell J, Moreau J-S, Conesa A, Dopazo J, Legrève A. Molecular interactions between sugar beet and Polymyxa betae during its life cycle. Annals of Applied Biology. 2014;164:244–256. doi:10.1111/aab.12095.
Díez-Fuertes F, De La Torre-Tarazona HE, Calonge E, et al. Association of a single nucleotide polymorphism in the ubxn6 gene with long-term non-progression phenotype in HIV-positive individuals. Clin Microbiol Infect. 2020;26(1):107-114. doi:10.1016/j.cmi.2019.05.015.
Dopazo H, Gordon MB, Perazzo R, Risau-Gusman S. A model for the emergence of adaptive subsystems. Bull Math Biol. 2003;65:27-56. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12597115.
Dopazo J, Erten C. Graph-theoretical comparison of normal and tumor networks in identifying BRCA genes. BMC Syst Biol. 2017;11(1):110. doi:10.1186/s12918-017-0495-0.
Dopazo J. Bioinformatics and cancer: an essential alliance. Clin Transl Oncol. 2006;8:409-15. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16790393.
Dopazo H, Dopazo J. Genome-scale evidence of the nematode-arthropod clade. Genome Biol. 2005;6:R41. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15892869.
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.
Dopazo J. Functional interpretation of microarray experiments. OMICS. 2006;10:398-410. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17069516.
Dopazo H. Bioinformática, Genómica y Evolución. Una alianza estratégica para la biología de este siglo. Ciencia Hoy. 2009;19:88-93.
Dopazo J. Genomics and transcriptomics in drug discovery. Drug discovery today. 2014;19:126-32. doi:10.1016/j.drudis.2013.06.003.
Dopazo J. Formulating and testing hypotheses in functional genomics. Artif Intell Med. 2009;45:97-107. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18789659.
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.
Dopazo J, Aloy P. Discovery and hypothesis generation through bioinformatics. Genome Biol. 2006;7:307. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16522224.
Dopazo J, Amadoz A, Bleda M, et al. 267 Spanish exomes reveal population-specific differences in disease-related genetic variation. Molecular biology and evolution. 2016. doi:10.1093/molbev/msw005.
Dopazo J, Erten C. Graph-theoretical comparison of normal and tumor networks in identifying BRCA genes. BMC Systems Biology. 2017;11(1). doi:10.1186/s12918-017-0495-0.
Dopazo J. Formulating and testing hypotheses in functional genomics. Artif Intell Med. 2009;45(2-3):97-107. doi:10.1016/j.artmed.2008.08.003.