Home

Publications

Export 328 results:
Author [ Title(Asc)] Type Year
Filters: First Letter Of Last Name is A  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
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.
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.
Antón J, Peña A, Valens M, et al. Salinibacter ruber: genomics and biogeography. In: Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya.Vol 9. Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya. Dordrecht, Netherlands: Nina Gunde-Cimerman, Ana Plemenitas, and Aharon Oren. Kluwer Academic Publishers; 2005:257-266.
Antón J, Peña A, Valens M, et al. Salinibacter ruber: genomics and biogeography. In: Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya.Vol 9. Adaptation to life in high salt concentrations in Archaea, Bacteria and Eukarya. Dordrecht, Netherlands: Nina Gunde-Cimerman, Ana Plemenitas, and Aharon Oren. Kluwer Academic Publishers; 2005:257-266.
R
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.
Mirzayi C, Renson A, Zohra F, et al. Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021;27(11):1885-1892. doi:10.1038/s41591-021-01552-x.
Mirzayi C, Renson A, Zohra F, et al. Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021;27(11):1885-1892. doi:10.1038/s41591-021-01552-x.
Carbonell-Caballero J, Amadoz A, Alonso R, et al. Reference genome assessment from a population scale perspective: an accurate profile of variability and noise. Bioinformatics. 2017;33(22):3511-3517. doi:10.1093/bioinformatics/btx482.
Carbonell-Caballero J, Amadoz A, Alonso R, et al. Reference genome assessment from a population scale perspective: an accurate profile of variability and noise. Bioinformatics. 2017;33(22):3511-3517. doi:10.1093/bioinformatics/btx482.
Del Pozo MGonzález-, Bravo-Gil N, Méndez-Vidal C, et al. Re-evaluation casts doubt on the pathogenicity of homozygous USH2A p.C759F. Am J Med Genet A. 2015;167(7):1597-600. doi:10.1002/ajmg.a.37003.
P
Conde L, Vaquerizas JM, Dopazo H, et al. PupaSuite: finding functional single nucleotide polymorphisms for large-scale genotyping purposes. Nucleic Acids Res. 2006;34:W621-5. Available at: http://nar.oxfordjournals.org/cgi/content/full/34/suppl_2/W621.
Conde L, Vaquerizas JM, Santoyo J, et al. PupaSNP Finder: a web tool for finding SNPs with putative effect at transcriptional level. Nucleic Acids Res. 2004;32:W242-8. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15215388.
Ortiz-Aljaro P, Montes-Cano MAntonio, García-Lozano J-R, et al. Protein and functional isoform levels and genetic variants of the BAFF and APRIL pathway components in systemic lupus erythematosus. Sci Rep. 2022;12(1):11219. doi:10.1038/s41598-022-15549-0.
Koziol A, Gonzalo P, Mota A, et al. The protease MT1-MMP drives a combinatorial proteolytic program in activated endothelial cells. FASEB J. 2012;26(11):4481-94. doi:10.1096/fj.12-205906.
Koziol A, Gonzalo P, Mota A, et al. The protease MT1-MMP drives a combinatorial proteolytic program in activated endothelial cells. FASEB J. 2012;26(11):4481-94. doi:10.1096/fj.12-205906.
Gutiérrez J, González-Pérez S, Garcia-Garcia F, et al. Programmed cell death activated by Rose Bengal in Arabidopsis thaliana cell suspension cultures requires functional chloroplasts. Journal of experimental botany. 2014. doi:10.1093/jxb/eru151.
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.
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.
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.
Espadaler J, Eswar N, Querol E, et al. Prediction of enzyme function by combining sequence similarity and protein interactions. BMC Bioinformatics. 2008;9:249. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18505562.
Gómez-López G, Dopazo J, Cigudosa JC, Valencia A, Al-Shahrour F. Precision medicine needs pioneering clinical bioinformaticians. Brief Bioinform. 2019;20(3):752-766. doi:10.1093/bib/bbx144.
Arbiza L, Dopazo J, Dopazo H. Positive selection, relaxation, and acceleration in the evolution of the human and chimp genome. PLoS Comput Biol. 2006;2:e38. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16683019.
Bojic S, Falco MM, Stojkovic P, et al. Platform to study intracellular polystyrene nanoplastic pollution and clinical outcomes. Stem Cells. 2020;38(10):1321-1325. doi:10.1002/stem.3244.
Carbonell-Caballero J, Alonso R, Ibañez V, Terol J, Talon M, Dopazo J. A phylogenetic analysis of 34 chloroplast genomes elucidates the relationships between wild and domestic species within the genus Citrus. Molecular biology and evolution. 2015;32:2015-2035. doi:10.1093/molbev/msv082.