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Alvarez S, Diaz-Uriarte R, Osorio A, et al. A predictor based on the somatic genomic changes of the BRCA1/BRCA2 breast cancer tumors identifies the non-BRCA1/BRCA2 tumors with BRCA1 promoter hypermethylation. Clin Cancer Res. 2005;11:1146-53. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15709182.
Gabaldón T, Huynen MA. Prediction of protein function and pathways in the genome era. Cell Mol Life Sci. 2004;61:930-44. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15095013.
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.
Stojkovic M, Guzmán FManuel Ort, Han D, Stojkovic P, Dopazo J, Stankovic KM. Polystyrene nanoplastics affect transcriptomic and epigenomic signatures of human fibroblasts and derived induced pluripotent stem cells: Implications for human health. Environ Pollut. 2023:120849. doi:10.1016/j.envpol.2022.120849.
Huerta-Cepas J, Bueno A, Dopazo J, Gabaldón T. PhylomeDB: a database for genome-wide collections of gene phylogenies. Nucleic Acids Res. 2008;36(Database issue):D491-6. doi:10.1093/nar/gkm899.
Huerta-Cepas J, Bueno A, Dopazo J, Gabaldón T. PhylomeDB: a database for genome-wide collections of gene phylogenies. Nucleic Acids Res. 2008;36:D491-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17962297.
Tarraga J, Medina I, Arbiza L, et al. Phylemon: a suite of web tools for molecular evolution, phylogenetics and phylogenomics. Nucleic Acids Res. 2007;35:W38-42. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17452346.
Sánchez R, Serra F, Tárraga J, et al. Phylemon 2.0: a suite of web-tools for molecular evolution, phylogenetics, phylogenomics and hypotheses testing. Nucleic Acids Res. 2011;39(Web Server issue):W470-4. doi:10.1093/nar/gkr408.
Palacios J, Honrado E, Osorio A, et al. Phenotypic characterization of BRCA1 and BRCA2 tumors based in a tissue microarray study with 37 immunohistochemical markers. Breast Cancer Res Treat. 2005;90:5-14. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15770521.
Schluter A, Fourcade S, Domenech-Estevez E, et al. PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease. Nucleic Acids Res. 2007;35:D815-22. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17135190.
Silbiger V, Luchessi A, Hirata R, et al. Peripheral blood cells transcriptome to study new biomarkers for myocardial infarction follow up. In: ; 2009.
Silbiger V, Luchessi A, Hirata R, et al. Peripheral blood cells transcriptome to study new biomarkers for myocardial infarction follow up. In: ; 2009.
Reiss JO, Burke AC, Archer C, et al. Pere Alberch: Originator of EvoDevo. Biological Theory. 2009;3:351-353.
Martin-Broto J, Cruz J, Penel N, et al. Pazopanib for treatment of typical solitary fibrous tumours: a multicentre, single-arm, phase 2 trial. Lancet Oncol. 2020;21(3):456-466. doi:10.1016/S1470-2045(19)30826-5.
Martin-Broto J, Stacchiotti S, Lopez-Pousa A, et al. Pazopanib for treatment of advanced malignant and dedifferentiated solitary fibrous tumour: a multicentre, single-arm, phase 2 trial. Lancet Oncol. 2019;20(1):134-144. doi:10.1016/S1470-2045(18)30676-4.
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 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.
Porta-Pardo E, García-Alonso L, Hrabe T, Dopazo J, Godzik A. A Pan-Cancer Catalogue of Cancer Driver Protein Interaction Interfaces. PLoS Comput Biol. 2015;11(10):e1004518. doi:10.1371/journal.pcbi.1004518.
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Gabaldón T, Snel B, van Zimmeren F, Hemrika W, Tabak H, Huynen MA. Origin and evolution of the peroxisomal proteome. Biol Direct. 2006;1:8. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16556314.
Gabaldón T, Snel B, van Zimmeren F, Hemrika W, Tabak H, Huynen MA. Origin and evolution of the peroxisomal proteome. Biol Direct. 2006;1:8. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16556314.
Mammoliti A, Smirnov P, Nakano M, et al. Orchestrating and sharing large multimodal data for transparent and reproducible research. Nat Commun. 2021;12(1):5797. doi:10.1038/s41467-021-25974-w.
Mammoliti A, Smirnov P, Nakano M, et al. Orchestrating and sharing large multimodal data for transparent and reproducible research. Nat Commun. 2021;12(1):5797. doi:10.1038/s41467-021-25974-w.
Mammoliti A, Smirnov P, Nakano M, et al. Orchestrating and sharing large multimodal data for transparent and reproducible research. Nat Commun. 2021;12(1):5797. doi:10.1038/s41467-021-25974-w.
Bogliolo M, Pujol R, Aza-Carmona M, et al. Optimised molecular genetic diagnostics of Fanconi anaemia by whole exome sequencing and functional studies. J Med Genet. 2020;57(4):258-268. doi:10.1136/jmedgenet-2019-106249.
Bogliolo M, Pujol R, Aza-Carmona M, et al. Optimised molecular genetic diagnostics of Fanconi anaemia by whole exome sequencing and functional studies. J Med Genet. 2020;57(4):258-268. doi:10.1136/jmedgenet-2019-106249.