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Łabaj PP, Dopazo J, Xiao W, Kreil DP. Editorial: Critical assessment of massive data analysis (CAMDA) annual conference 2021. Front Genet. 2023;14:1154398. doi:10.3389/fgene.2023.1154398.
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Zhang Z, Hernandez K, Savage J, et al. Uniform genomic data analysis in the NCI Genomic Data CommonsAbstract. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-21254-9.
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Yung S, Ledran M, Moreno-Gimeno I, et al. Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells. Hum Mol Genet. 2011;20(24):4932-46. doi:10.1093/hmg/ddr431.
Yi X, Conesa A, Punt PJ, Hager LP. Examining the role of glutamic acid 183 in chloroperoxidase catalysis. J Biol Chem. 2003;278:13855-9. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12576477.
Yang M, Petralia F, Li Z, et al. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Syst. 2020;11(2):186-195.e9. doi:10.1016/j.cels.2020.06.013.
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Wu GAlbert, Terol J, Ibañez V, et al. Genomics of the origin and evolution of Citrus. Nature. 2018;554(7692):311-316. doi:10.1038/nature25447.
Williams TD, Diab AM, George SG, et al. Development of the GENIPOL European flounder (Platichthys flesus) microarray and determination of temporal transcriptional responses to cadmium at low dose. Environ Sci Technol. 2006;40:6479-88. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17120584.
Wilkinson MD, Senger M, Kawas E, et al. Interoperability with Moby 1.0–it’s better than sharing your toothbrush!. Brief Bioinform. 2008;9:220-31. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18238804.
Wang H, Azuaje F, Bodenreider O, Dopazo J. Gene expression Correlation and Gene Ontology-Based Similarity: An Assessment of Quantitative Relationship. In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.; 2004:25-31.
Walsh I, Fishman D, Garcia-Gasulla D, et al. DOME: recommendations for supervised machine learning validation in biology. Nat Methods. 2021;18(10):1122-1127. doi:10.1038/s41592-021-01205-4.
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Vivas Y, Martinez-Garcia C, Izquierdo A, et al. Early peroxisome proliferator-activated receptor gamma regulated genes involved in expansion of pancreatic beta cell mass. BMC Med Genomics. 2011;4:86. doi:10.1186/1755-8794-4-86.
Villalba-Benito L, López-López D, Torroglosa A, et al. Genome-wide analysis of DNA methylation in Hirschsprung enteric precursor cells: unraveling the epigenetic landscape of enteric nervous system developmentAbstractBackgroundResultsConclusionsGraphic abstract. Clinical Epigenetics. 2021;13(1). doi:10.1186/s13148-021-01040-6.
Ventoso I, Kochetov A, Montaner D, Dopazo J, Santoyo J. Extensive translatome remodeling during ER stress response in mammalian cells. PLoS One. 2012;7(5):e35915. doi:10.1371/journal.pone.0035915.
Vella F, Mietchen D, Gabaldón T. Perceptions about postdocs. EMBO Rep. 2004;5:1104. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15577920.
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.
Vaquerizas JM, Conde L, Yankilevich P, et al. GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data. Nucleic Acids Res. 2005;33:W616-20. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15980548.
Vaquerizas JM, Dopazo J, Diaz-Uriarte R. DNMAD: web-based diagnosis and normalization for microarray data. Bioinformatics. 2004;20:3656-8. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15247094.
van Heerden JH, Conesa A, Stein DJ, Montaner D, Russell V, Illing N. Parallel changes in gene expression in peripheral blood mononuclear cells and the brain after maternal separation in the mouse. BMC Res Notes. 2009;2:195.
Valls J, Grau M, Sole X, et al. CLEAR-test: combining inference for differential expression and variability in microarray data analysis. J Biomed Inform. 2008;41:33-45. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17597009.
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Urreizti R, Roca-Ayats N, Trepat J, et al. Screening of CD96 and ASXL1 in 11 patients with Opitz C or Bohring-Opitz syndromes. Am J Med Genet A. 2016;170A(1):24-31. doi:10.1002/ajmg.a.37418.
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Trevino V, Tadesse MG, Vannucci M, et al. Analysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells. PloS one. 2011;6:e16492.
Tracey L, Villuendas R, Ortiz P, et al. Identification of genes involved in resistance to interferon-alpha in cutaneous T-cell lymphoma. Am J Pathol. 2002;161:1825-37. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12414529.
Tort F, García-Silva MTeresa, Ferrer-Cortès X, et al. Exome sequencing identifies a new mutation in SERAC1 in a patient with 3-methylglutaconic aciduria. Mol Genet Metab. 2013;110(1-2):73-7. doi:10.1016/j.ymgme.2013.04.021.
Torres JSalavert, Espert IBlanquer, Dominguez ATomas, et al. Using GPUs for the Exact Alignment of Short-read Genetic Sequences by Means of the Burrows–Wheeler Transform. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM. 2012;9:1245-1256. doi:10.1109/TCBB.2012.49.
Torres JSalavert, Espert IBlanquer, Domínguez ATomás, et al. Using GPUs for the exact alignment of short-read genetic sequences by means of the Burrows-Wheeler transform. IEEE/ACM Trans Comput Biol Bioinform. 2012;9(4):1245-56. doi:10.1109/TCBB.2012.49.