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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.
Stojkovic M, Guzmán FManuel Ort, Han D, Stojkovic P, Dopazo J, Stankovic KM. Polystyrene nanoplastics affect transcriptomic and epigenomic signatures of human fibroblasts and derived induced pluripotent stem cells: Implications for human health. Environ Pollut. 2023:120849. doi:10.1016/j.envpol.2022.120849.
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.
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.
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.
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.
Gabaldón T, Huynen MA. Prediction of protein function and pathways in the genome era. Cell Mol Life Sci. 2004;61:930-44. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15095013.
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.
Vázquez-Costa JFrancisco, Payá-Montes M, Martínez-Molina M, et al. Presenilin-1 Mutations Are a Cause of Primary Lateral Sclerosis-Like Syndrome. Front Mol Neurosci. 2021;14:721047. doi:10.3389/fnmol.2021.721047.
Baz-Redón N, Sánchez-Bellver L, Fernández-Cancio M, et al. Primary Ciliary Dyskinesia and Retinitis Pigmentosa: Novel Variant and Possible Modifier Gene. Cells. 2024;13(6). doi:10.3390/cells13060524.
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.
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.
Maroñas O, Latorre A, Dopazo J, et al. Progress in pharmacogenetics: consortiums and new strategies. Drug Metab Pers Ther. 2016;31(1):17-23. doi:10.1515/dmpt-2015-0039.
Medina I, Montaner D, Tarraga J, Dopazo J. Prophet, a web-based tool for class prediction using microarray data. Bioinformatics. 2007;23:390-1. Available at: http://bioinformatics.oxfordjournals.org/cgi/content/full/23/3/390?view=long&pmid=17138587.
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.
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.
Minguez P, Dopazo J. Protein Interactions for Functional Genomics. In: Li X-L, Ng S-K, eds. Biological Data Mining in Protein Interaction Networks. Biological Data Mining in Protein Interaction Networks. Hershey, USA: Idea Group Inc (IGI); 2009:223-238. Available at: http://books.google.es/books?id=pNyCy5GsqtkC.
Stanley WA, Fodor K, Marti-Renom MA, Schliebs W, Wilmanns M. Protein translocation into peroxisomes by ring-shaped import receptors. FEBS Lett. 2007;581:4795-802. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17884042.
Minguez P, Letunic I, Parca L, et al. PTMcode v2: a resource for functional associations of post-translational modifications within and between proteins. Nucleic Acids Res. 2015;43(Database issue):D494-502. doi:10.1093/nar/gku1081.
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.
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, Ferrer-Costa C, de la Cruz X, Orozco M, Dopazo J. PupasView: a visual tool for selecting suitable SNPs, with putative pathological effect in genes, for genotyping purposes. Nucleic Acids Res. 2005;33:W501-5. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15980522.
Perez-Gil D, Lopez FJ, Dopazo J, Marin-Garcia P, Rendon A, Medina I. PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources. BMC Bioinformatics. 2019;20(1):159. doi:10.1186/s12859-019-2726-4.
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García-Alcalde F, Okonechnikov K, Carbonell J, et al. Qualimap: evaluating next-generation sequencing alignment data. Bioinformatics (Oxford, England). 2012;28:2678-9. doi:10.1093/bioinformatics/bts503.
Capriotti E, Marti-Renom MA. Quantifying the relationship between sequence and three-dimensional structure conservation in RNA. BMC bioinformatics. 2010;11:322.