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Saar K, Beck A, Bihoreau MT, et al. SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40:560-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18443594.
Salavert F, García-Alonso L, Sánchez R, et al. Web-based network analysis and visualization using CellMaps. Bioinformatics. 2016;32(19):3041-3. doi:10.1093/bioinformatics/btw332.
Salavert F, Hidago MR, Amadoz A, et al. Actionable pathways: interactive discovery of therapeutic targets using signaling pathway models. Nucleic acids research. 2016. doi:10.1093/nar/gkw369.
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.
Salgado D, Armean IM, Baudis M, et al. The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research. F1000Res. 2020;9. doi:10.12688/f1000research.24887.1.
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.
Sanchez-Mut JV, Heyn H, Vidal E, et al. Human DNA methylomes of neurodegenerative diseases show common epigenomic patterns. Transl Psychiatry. 2016;6:e718. doi:10.1038/tp.2015.214.
Sánchez-Tena S, Lizarraga D, Miranda A, et al. Grape antioxidant dietary fiber (GADF) inhibits intestinal polyposis in ApcMin/+ mice: relation to cell cycle and immune response. Carcinogenesis. 2013. doi:10.1093/carcin/bgt140.
Sánchez-Tena S, Lizarraga D, Miranda A, et al. Grape antioxidant dietary fiber inhibits intestinal polyposis in ApcMin/+ mice: relation to cell cycle and immune response. Carcinogenesis. 2013;34(8):1881-8. doi:10.1093/carcin/bgt140.
Sánchez-Tena S, Reyes-Zurita FJ, Díaz-Moralli S, et al. Maslinic Acid-Enriched Diet Decreases Intestinal Tumorigenesis in Apc(Min/+) Mice through Transcriptomic and Metabolomic Reprogramming. PloS one. 2013;8:e59392. doi:10.1371/journal.pone.0059392.
Sanghez V, Cubuk C, Sebastián-Leon P, et al. Chronic subordination stress selectively downregulates the insulin signaling pathway in liver and skeletal muscle but not in adipose tissue of male mice. Stress (Amsterdam, Netherlands). 2016:1-11. doi:10.3109/10253890.2016.1151491.
Santoyo J, Vaquerizas JM, Dopazo J. Highly specific and accurate selection of siRNAs for high-throughput functional assays. Bioinformatics. 2005;21:1376-82. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15591357.
Schluter A, Fourcade S, Domenech-Estevez E, et al. PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease. Nucleic Acids Res. 2007;35:D815-22. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17135190.
Sebastián-Leon P, Carbonell J, Salavert F, Sánchez R, Medina I, Dopazo J. Inferring the functional effect of gene expression changes in signaling pathways. Nucleic Acids Res. 2013;41(Web Server issue):W213-7. doi:10.1093/nar/gkt451.
Sebastián-Leon P, Vidal E, Minguez P, et al. Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Sebastián-Leon P, Vidal E, Minguez P, et al. Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Serra F, Arbiza L, Dopazo J, Dopazo H. Natural selection on functional modules, a genome-wide analysis. PLoS Comput Biol. 2011;7(3):e1001093. doi:10.1371/journal.pcbi.1001093.
Serra F, Arbiza L, Dopazo H. Genómica Comparativa y Selección Natural. Aplicaciones en el Genoma Humano. Capítulo 1.6. In: Dopazo H, Navarro A, eds. Evolución y Adaptacón. 150 años después del Origen de las Especies. Evolución y Adaptacón. 150 años después del Origen de las Especies. Valencia: Obrapropia.; 2009:51-59.
Sevilla T, Sivera R, Martínez-Rubio D, et al. The EGR2 gene is involved in axonal Charcot-Marie-Tooth disease. Eur J Neurol. 2015;22(12):1548-55. doi:10.1111/ene.12782.
Sevilla T, Lupo V, Martínez-Rubio D, et al. Mutations in the MORC2 gene cause axonal Charcot-Marie-Tooth disease. Brain. 2016;139(Pt 1):62-72. doi:10.1093/brain/awv311.
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 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.
Silbiger V, Luchessi A, Hirata R, et al. Peripheral blood cells transcriptome to study new biomarkers for myocardial infarction follow up. In: ; 2009.
Silbiger VN, Luchessi AD, Hirata RDC, et al. Novel genes detected by transcriptional profiling from whole-blood cells in patients with early onset of acute coronary syndrome: Transcriptional profiling of acute coronary syndrome. Clinica chimica acta; international journal of clinical chemistry. 2013. doi:10.1016/j.cca.2013.03.011.
Silbiger VN, Luchessi AD, Hirata RDC, et al. Novel genes detected by transcriptional profiling from whole-blood cells in patients with early onset of acute coronary syndrome. Clin Chim Acta. 2013;421:184-90. doi:10.1016/j.cca.2013.03.011.