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2011
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.
Cardona F, Sánchez-Mut JVicente, Dopazo H, Pérez-Tur J. Phylogenetic and in silico structural analysis of the Parkinson disease-related kinase PINK1. Human mutation. 2011;32:369-78. doi:10.1002/humu.21444.
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.
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.
Marigorta UM, Lao O, Casals F, et al. Recent human evolution has shaped geographical differences in susceptibility to disease. BMC genomics. 2011;12:55.
Marigorta UM, Lao O, Casals F, et al. Recent human evolution has shaped geographical differences in susceptibility to disease. BMC genomics. 2011;12:55.
Martín-Trillo M, Grandío EGonzález, Serra F, et al. Role of tomato BRANCHED1-like genes in the control of shoot branching. The Plant journal : for cell and molecular biology. 2011;67:701-14. doi:10.1111/j.1365-313X.2011.04629.x.
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.
Baù D, Sanyal A, Lajoie BR, et al. The three-dimensional folding of the α-globin gene domain reveals formation of chromatin globules. Nature structural & molecular biology. 2011;18:107-14.
2010
Medina I, Carbonell J, Pulido L, et al. Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Nucleic Acids Research. 2010;38:W210-W213. Featured in NAR. Available at: http://nar.oxfordjournals.org/content/38/suppl_2/W210.full.
Medina I, Carbonell J, Pulido L, et al. Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Nucleic Acids Research. 2010;38:W210-W213. Featured in NAR. Available at: http://nar.oxfordjournals.org/content/38/suppl_2/W210.full.
Javierre BM, Fernandez AF, Richter J, et al. Changes in the pattern of DNA methylation associate with twin discordance in systemic lupus erythematosus. Genome research. 2010;20:170-9.
Bonifaci N, Górski B, Masojć B, et al. Exploring the link between germline and somatic genetic alterations in breast carcinogenesis. PLoS One. 2010;5(11):e14078. doi:10.1371/journal.pone.0014078.
Shi W, Bessarabova M, Dosymbekov D, et al. Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Pharmacogenomics J. 2010;10(4):310-23. doi:10.1038/tpj.2010.35.
Shi W, Bessarabova M, Dosymbekov D, et al. Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Pharmacogenomics J. 2010;10(4):310-23. doi:10.1038/tpj.2010.35.
Prado-Lopez S, Conesa A, Armiñán A, et al. Hypoxia promotes efficient differentiation of human embryonic stem cells to functional endothelium. Stem Cells. 2010;28(3):407-18. doi:10.1002/stem.295.
Németh A, Conesa A, Santoyo-López J, et al. Initial genomics of the human nucleolus. PLoS genetics. 2010;6:e1000889. doi:10.1371/journal.pgen.1000889.
Németh A, Conesa A, Santoyo-López J, et al. Initial genomics of the human nucleolus. PLoS genetics. 2010;6:e1000889. doi:10.1371/journal.pgen.1000889.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.