Publications

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Aggarwal M, Sánchez-Beato M, Gómez-López G, et al. Functional signatures identified in B-cell non-Hodgkin lymphoma profiles. Leukemia & lymphoma. 2009;50:1699-708. Available at: http://www.ncbi.nlm.nih.gov/pubmed/19863341?itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_RVDocSum&ordinalpos=5.
Agudo M, Perez-Marin MC, Lonngren U, et al. Time course profiling of the retinal transcriptome after optic nerve transection and optic nerve crush. Mol Vis. 2008;14:1050-63. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18552980.
Aguerri M, Calzada D, Montaner D, et al. Differential gene-expression analysis defines a molecular pattern related to olive pollen allergy. J Biol Regul Homeost Agents. 2013;27(2):337-50.
Aguerri M, Calzada D, Montaner D, et al. Differential gene-expression analysis defines a molecular pattern related to olive pollen allergy. Journal of biological regulators and homeostatic agents. 2013;27:337-50. Available at: http://www.ncbi.nlm.nih.gov/pubmed/23830385.
Al-Shahrour F, Minguez P, Vaquerizas JM, Conde L, Dopazo J. BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments. Nucleic Acids Res. 2005;33:W460-4. Available at: http://nar.oxfordjournals.org/content/33/suppl_2/W460.long.
Al-Shahrour F, Minguez P, Tarraga J, et al. FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Res. 2007;35:W91-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17478504.
Al-Shahrour F, Diaz-Uriarte R, Dopazo J. Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information. Bioinformatics. 2005;21:2988-93. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15840702.
Al-Shahrour F, Minguez P, Marqués-Bonet T, Gazave E, Navarro A, Dopazo J. Selection upon Genome Architecture: Conservation of Functional Neighborhoods with Changing Genes. PLoS Comput. Biol. 2010;6:e1000953. doi:doi:10.1371/journal.pcbi.1000953.
Al-Shahrour F, Minguez P, Tarraga J, et al. BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments. Nucleic Acids Res. 2006;34:W472-6. Available at: http://nar.oxfordjournals.org/content/34/suppl_2/W472.long.
Al-Shahrour F, Carbonell J, Minguez P, et al. Babelomics: advanced functional profiling of transcriptomics, proteomics and genomics experiments. Nucleic Acids Res. 2008;36:W341-6. Available at: http://nar.oxfordjournals.org/content/36/suppl_2/W341.long.
Al-Shahrour F, Dopazo J. Ontologies and functional genomics. In: Data analysis and visualisation in genomics and proteomics. Data analysis and visualisation in genomics and proteomics. Wiley, F. Azuaje and J. Dopazo; 2005:99-102.
Al-Shahrour F, Herrero J, Mateos A, Santoyo J, Díaz-Uriarte R, Dopazo J. Using Gene Ontology on genome-scale studies to find significant associations of biologically relevant terms to group of genes. In: Neural Networks for Signal Processing XIII. Neural Networks for Signal Processing XIII. New York, USA: IEEE Press; 2003:43-52.
Al-Shahrour F, Diaz-Uriarte R, Dopazo J. FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics. 2004;20:578-80. Available at: http://bioinformatics.oxfordjournals.org/content/20/4/578.abstract.
Al-Shahrour F, Arbiza L, Dopazo H, et al. From genes to functional classes in the study of biological systems. BMC Bioinformatics. 2007;8:114. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17407596.
Alemán A, Garcia-Garcia F, Salavert F, Medina I, Dopazo J. A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies. Nucleic Acids Res. 2014;42(Web Server issue):W88-93. doi:10.1093/nar/gku407.
Alemán A, Garcia-Garcia F, Medina I, Dopazo J. A web tool for the design and management of panels of genes for targeted enrichment and massive sequencing for clinical applications. Nucleic acids research. 2014;42:W83-W87. doi:10.1093/nar/gku472.
Alemán A, Garcia-Garcia F, Medina I, Dopazo J. A web tool for the design and management of panels of genes for targeted enrichment and massive sequencing for clinical applications. Nucleic Acids Res. 2014;42(Web Server issue):W83-7. doi:10.1093/nar/gku472.
Alemán A, Garcia-Garcia F, Salavert F, Medina I, Dopazo J. A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies. Nucleic acids research. 2014;42:W88-W93. doi:10.1093/nar/gku407.
Alloza E, Al-Shahrour F, Cigudosa JC, Dopazo J. A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Medical Genomics. 2011;4:37. doi:10.1186/1755-8794-4-37.
Alloza E, Al-Shahrour F, Cigudosa JC, Dopazo J. A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Med Genomics. 2011;4:37. doi:10.1186/1755-8794-4-37.
Alonso R, Salavert F, Garcia-Garcia F, et al. Babelomics 5.0: functional interpretation for new generations of genomic data. Nucleic Acids Res. 2015;43(W1):W117-21. doi:10.1093/nar/gkv384.
Alonso R, Salavert F, Garcia-Garcia F, et al. Babelomics 5.0: functional interpretation for new generations of genomic data. Nucleic acids research. 2015;43:W117-W121. doi:10.1093/nar/gkv384.
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.
Alvarez-Mora MI, Rodriguez-Revenga L, Madrigal I, et al. Deregulation of key signaling pathways involved in oocyte maturation in FMR1 premutation carriers with Fragile X-associated primary ovarian insufficiency. Gene. 2015. doi:10.1016/j.gene.2015.06.039.
Alvarez-Mora MI, Rodriguez-Revenga L, Madrigal I, et al. Deregulation of key signaling pathways involved in oocyte maturation in FMR1 premutation carriers with Fragile X-associated primary ovarian insufficiency. Gene. 2015;571(1):52-7. doi:10.1016/j.gene.2015.06.039.