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Author Title Type [ Year(Asc)]
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2024
Maillo A, Huergo E, Apellániz-Ruiz M, et al. Characterization of the Common Genetic Variation in the Spanish Population of Navarre. Genes (Basel). 2024;15(5). doi:10.3390/genes15050585.
2021
Peña-Chilet M, Roldán G, Perez-Florido J, et al. CSVS, a crowdsourcing database of the Spanish population genetic variability. Nucleic Acids Res. 2021;49(D1):D1130-D1137. doi:10.1093/nar/gkaa794.
2017
Lopez J, Coll J, Haimel M, et al. HGVA: the Human Genome Variation Archive. Nucleic Acids Res. 2017;45(W1):W189-W194. doi:10.1093/nar/gkx445.
2016
Ibáñez M, Carbonell-Caballero J, García-Alonso L, et al. The Mutational Landscape of Acute Promyelocytic Leukemia Reveals an Interacting Network of Co-Occurrences and Recurrent Mutations. PLoS One. 2016;11(2):e0148346. doi:10.1371/journal.pone.0148346.
2015
Salavert J, Tomás A, Tárraga J, Medina I, Dopazo J, Blanquer I. Fast inexact mapping using advanced tree exploration on backward search methods. BMC Bioinformatics. 2015;16:18. doi:10.1186/s12859-014-0438-3.
2014
López-Domingo FJ, Florido JP, Rueda A, Dopazo J, Santoyo-López J. ngsCAT: a tool to assess the efficiency of targeted enrichment sequencing. Bioinformatics. 2014;30(12):1767-8. doi:10.1093/bioinformatics/btu108.
García-Alonso L, Jiménez-Almazán J, Carbonell-Caballero J, et al. The role of the interactome in the maintenance of deleterious variability in human populations. Mol Syst Biol. 2014;10:752. doi:10.15252/msb.20145222.
2013
Galan A, Diaz-Gimeno P, Poo MEugenia, et al. Defining the genomic signature of totipotency and pluripotency during early human development. PLoS One. 2013;8(4):e62135. doi:10.1371/journal.pone.0062135.
2012
Heyn H, Vidal E, Sayols S, et al. Whole-genome bisulfite DNA sequencing of a DNMT3B mutant patient. Epigenetics. 2012;7(6):542-50. doi:10.4161/epi.20523.
2010
Montaner D, Dopazo J. Multidimensional gene set analysis of genomic data. PLoS One. 2010;5(4):e10348. doi:10.1371/journal.pone.0010348.
2008
Capriotti E, Arbiza L, Casadio R, Dopazo J, Dopazo H, Marti-Renom MA. Use of estimated evolutionary strength at the codon level improves the prediction of disease-related protein mutations in humans. Hum Mutat. 2008;29(1):198-204. doi:10.1002/humu.20628.