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2021
Méndez-Salazar EOrlando, Vázquez-Mellado J, Casimiro-Soriguer CS, et al. Taxonomic variations in the gut microbiome of gout patients with and without tophi might have a functional impact on urate metabolism. Mol Med. 2021;27(1):50. doi:10.1186/s10020-021-00311-5.
Zhang Z, Hernandez K, Savage J, et al. Uniform genomic data analysis in the NCI Genomic Data CommonsAbstract. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-21254-9.
Zhang Z, Hernandez K, Savage J, et al. Uniform genomic data analysis in the NCI Genomic Data CommonsAbstract. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-21254-9.
2020
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.
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.
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.
Ostaszewski M, Mazein A, Gillespie ME, et al. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Sci Data. 2020;7(1):136. doi:10.1038/s41597-020-0477-8.
Ostaszewski M, Mazein A, Gillespie ME, et al. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Sci Data. 2020;7(1):136. doi:10.1038/s41597-020-0477-8.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
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.
Martin-Broto J, Hindi N, Grignani G, et al. Nivolumab and sunitinib combination in advanced soft tissue sarcomas: a multicenter, single-arm, phase Ib/II trial. J Immunother Cancer. 2020;8(2). doi:10.1136/jitc-2020-001561.
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.
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.
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.