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2023
A second update on mapping the human genetic architecture of COVID-19. Nature. 2023;621(7977):E7-E26. doi:10.1038/s41586-023-06355-3.
Gundogdu P, Alamo I, Nepomuceno-Chamorro IA, Dopazo J, Loucera C. SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types. Biology (Basel). 2023;12(4). doi:10.3390/biology12040579.
2022
Olivares-González L, Velasco S, Gallego I, et al. An SPM-Enriched Marine Oil Supplement Shifted Microglia Polarization toward M2, Ameliorating Retinal Degeneration in Mice. Antioxidants (Basel). 2022;12(1). doi:10.3390/antiox12010098.
2021
Tenorio-Castaño J, Morte B, Nevado J, et al. Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review. Genes. 2021;12(5):738. doi:10.3390/genes12050738.
2020
López-López D, Loucera C, Carmona R, et al. SMN1 copy-number and sequence variant analysis from next-generation sequencing data. Hum Mutat. 2020;41(12):2073-2077. doi:10.1002/humu.24120.
2016
Urreizti R, Roca-Ayats N, Trepat J, et al. Screening of CD96 and ASXL1 in 11 patients with Opitz C or Bohring-Opitz syndromes. Am J Med Genet A. 2016;170A(1):24-31. doi:10.1002/ajmg.a.37418.
Puchades-Carrasco L, Jantus-Lewintre E, Pérez-Rambla C, et al. Serum metabolomic profiling facilitates the non-invasive identification of metabolic biomarkers associated with the onset and progression of non-small cell lung cancer. Oncotarget. 2016;7(11):12904-16. doi:10.18632/oncotarget.7354.
Razzoli M, Frontini A, Gurney A, et al. Stress-induced activation of brown adipose tissue prevents obesity in conditions of low adaptive thermogenesis. Mol Metab. 2016;5(1):19-33. doi:10.1016/j.molmet.2015.10.005.
2014
Larriba E, Jaime MDLA, Carbonell-Caballero J, et al. Sequencing and functional analysis of the genome of a nematode egg-parasitic fungus, Pochonia chlamydosporia. Fungal Genet Biol. 2014;65:69-80. doi:10.1016/j.fgb.2014.02.002.
2012
Lorente-Galdos B, Medina I, Morcillo-Suarez C, et al. Select your SNPs (SYSNPs): a web tool for automatic and massive selection of SNPs. International journal of data mining and bioinformatics. 2012;6:324-34. Available at: http://inderscience.metapress.com/content/f76740x8071u513n/.
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.
2011
Lüke L, Vicens A, Serra F, et al. Sexual selection halts the relaxation of protamine 2 among rodents. PloS one. 2011;6:e29247. doi:10.1371/journal.pone.0029247.
Baù D, Marti-Renom MA. Structure determination of genomic domains by satisfaction of spatial restraints. Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology. 2011;19:25-35.
Cuenca-Bono B, García-Molinero V, Pascual-García P, et al. SUS1 introns are required for efficient mRNA nuclear export in yeast. Nucleic acids research. 2011;39:8599-611.
2010
Al-Shahrour F, Minguez P, Marqués-Bonet T, Gazave E, Navarro A, Dopazo J. Selection upon Genome Architecture: Conservation of Functional Neighborhoods with Changing Genes. PLoS Comput. Biol. 2010;6:e1000953. doi:doi:10.1371/journal.pcbi.1000953.
Nueda MJosé, Carbonell J, Medina I, Dopazo J, Conesa A. Serial Expression Analysis: a web tool for the analysis of serial gene expression data. Nucleic Acids Res. 2010;38(Web Server issue):W239-45. doi:10.1093/nar/gkq488.
Rattei T, Tischler P, Götz S, et al. SIMAP–a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters. Nucleic acids research. 2010;38:D223-6.
2009
Capriotti E, Marti-Renom MA. SARA: a server for function annotation of RNA structures. Nucl. Acids Res. 2009:gkp433. doi:10.1093/nar/gkp433.
Martin-Coello J, Dopazo H, Arbiza L, Ausio J, Roldan ER, Gomendio M. Sexual selection drives weak positive selection in protamine genes and high promoter divergence, enhancing sperm competitiveness. Proc Biol Sci. 2009. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19364735.
Minguez P, Gotz S, Montaner D, Al-Shahrour F, Dopazo J. SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks. Nucl. Acids Res. 2009;37:W109-114. doi:10.1093/nar/gkp402.
Minguez P, Götz S, Montaner D, Al-Shahrour F, Dopazo J. SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks. Nucleic Acids Res. 2009;37(Web Server issue):W109-14. doi:10.1093/nar/gkp402.
Birmingham A, Selfors LM, Forster T, et al. Statistical methods for analysis of high-throughput RNA interference screens. Nature Methods. 2009;6:569 - 575. Available at: http://dx.doi.org/10.1038/nmeth.1351.
Marti-Renom MA, Capriotti E, Shindyalov I, Bourne P. Structural Comparison and Alignment. In: Structural Bioinformatics. 2ndnd ed. Structural Bioinformatics. New Jersey. USA: Wiley-Blackwell; 2009. Available at: http://www.amazon.com/gp/product/0470181052/.
2008
Dopazo H. Selective Constraints and Human Disease Genes: Evolutionary and Bioinformatic Approaches. In: Encyclopedia of Life Science. Encyclopedia of Life Science. UK: John Wiley & Sons, Ltd.; 2008. doi:10.1002/9780470015902.a0020762.
Dopazo H. Selective Constraints on Human Disease Mutations and Polymorphisms. In: Handbook of Human Molecular Evolution. Handbook of Human Molecular Evolution. UK: Hildegard Kehrer-Sawatzki & David N. Cooper. John Wiley & Sons, Ltd; 2008. Available at: http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470517468,descCd-description.html.