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Dopazo H, Gordon MB, Perazzo R, Risau-Gusman S. A model for the interaction of learning and evolution. Bull Math Biol. 2001;63:117-34. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11146879.
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, 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. 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 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 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.
Durban J, Juárez P, Angulo Y, et al. Profiling the venom gland transcriptomes of Costa Rican snakes by 454 pyrosequencing. BMC genomics. 2011;12:259.
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Eduati F, Mangravite LM, Wang T, et al. Prediction of human population responses to toxic compounds by a collaborative competition. Nature biotechnology. 2015. doi:10.1038/nbt.3299.
Elena SF, Dopazo J, de la Pena M, Flores R, Diener TO, Moya A. Phylogenetic analysis of viroid and viroid-like satellite RNAs from plants: a reassessment. J Mol Evol. 2001;53:155-9. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11479686.
Eramian D, Shen MY, Devos D, Melo F, Sali A, Marti-Renom MA. A composite score for predicting errors in protein structure models. Protein Sci. 2006;15:1653-66. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16751606.
Espadaler J, Aragues R, Eswar N, et al. Detecting remotely related proteins by their interactions and sequence similarity. Proc Natl Acad Sci U S A. 2005;102:7151-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15883372.
Espadaler J, Eswar N, Querol E, et al. Prediction of enzyme function by combining sequence similarity and protein interactions. BMC Bioinformatics. 2008;9:249. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18505562.
Esteban-Medina M, Peña-Chilet M, Loucera C, Dopazo J. Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models. BMC Bioinformatics. 2019;20(1):370. doi:10.1186/s12859-019-2969-0.
Esteban-Medina M, Loucera C, Rian K, et al. The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery. J Transl Med. 2024;22(1):139. doi:10.1186/s12967-024-04911-7.
Eswar N, Webb B, Marti-Renom MA, et al. Comparative protein structure modeling using Modeller. Curr Protoc Bioinformatics. 2006;Chapter 5:Unit 5 6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18428767.
Eswar N, John B, Mirkovic N, et al. Tools for comparative protein structure modeling and analysis. Nucleic Acids Res. 2003;31:3375-80. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12824331.
Ewing AD, Houlahan KE, Hu Y, et al. Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. participants ICGC-TCGADREAMSoma, Xi L, Dewal N, et al., eds. Nature methods. 2015. doi:10.1038/nmeth.3407.
Eyrich VA, Marti-Renom MA, Przybylski D, et al. EVA: continuous automatic evaluation of protein structure prediction servers. Bioinformatics. 2001;17:1242-3. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11751240.
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Falco MM, Bleda M, Carbonell-Caballero J, Dopazo J. The pan-cancer pathological regulatory landscape. Scientific reports. 2016;6:39709. doi:10.1038/srep39709.
Falco MM, Bleda M, Carbonell-Caballero J, Dopazo J. The pan-cancer pathological regulatory landscape. Scientific Reports. 2016;6(1). doi:10.1038/srep39709.
Falco MM, Peña-Chilet M, Loucera C, Hidalgo MR, Dopazo J. Mechanistic models of signaling pathways deconvolute the glioblastoma single-cell functional landscapeAbstract. NAR Cancer. 2020;2(2). doi:10.1093/narcan/zcaa011.
Fernández RM, Bleda M, Luzón-Toro B, et al. Pathways systematically associated to Hirschsprung’s disease. Orphanet journal of rare diseases. 2013;8:187. doi:10.1186/1750-1172-8-187.
Fernández RM, Bleda M, Luzón-Toro B, et al. Pathways systematically associated to Hirschsprung's disease. Orphanet J Rare Dis. 2013;8:187. doi:10.1186/1750-1172-8-187.
Fernández RMa, Bleda M, Núñez-Torres R, et al. Four new loci associations discovered by pathway-based and network analyses of the genome-wide variability profile of Hirschsprung’s disease. Orphanet journal of rare diseases. 2012;7:103. doi:10.1186/1750-1172-7-103.
Fernandez P, Soria M, Blesa D, et al. Development, Characterization and Experimental Validation of a Cultivated Sunflower (Helianthus annuus L.) Gene Expression Oligonucleotide Microarray. PloS one. 2012;7:e45899. doi:10.1371/journal.pone.0045899.