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Tárraga J, Gallego A, Arnau V, Medina I, Dopazo J. HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0966-0.
Tárraga J, Gallego A, Arnau V, Medina I, Dopazo J. HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC bioinformatics. 2016;17:107. doi:10.1186/s12859-016-0966-0.
Tarraga J, Medina I, Arbiza L, et al. Phylemon: a suite of web tools for molecular evolution, phylogenetics and phylogenomics. Nucleic Acids Res. 2007;35:W38-42. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17452346.
Tárraga J, Pérez M, Orduña JM, Duato J, Medina I, Dopazo J. A Parallel and Sensitive Software Tool for Methylation Analysis on Multicore Platforms. Bioinformatics (Oxford, England). 2015;31:3130-3138. doi:10.1093/bioinformatics/btv357.
Tenorio J, Mansilla A, Valencia M, et al. A New Overgrowth Syndrome is Due to Mutations in RNF125. Human mutation. 2014;35:1436–1441. doi:10.1002/humu.22689.
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.
Terol J, Ibañez V, Carbonell J, et al. Involvement of a citrus meiotic recombination TTC-repeat motif in the formation of gross deletions generated by ionizing radiation and MULE activation. BMC Genomics. 2015;16:69. doi:10.1186/s12864-015-1280-3.
Terol J, Conesa A, Colmenero JM, et al. Analysis of 13000 unique Citrus clusters associated with fruit quality, production and salinity tolerance. BMC Genomics. 2007;8:31. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17254327.
Terol J, Ibañez V, Carbonell J, et al. Involvement of a citrus meiotic recombination TTC-repeat motif in the formation of gross deletions generated by ionizing radiation and MULE activation. BMC genomics. 2015;16:69. doi:10.1186/s12864-015-1280-3.
Fourati S, Talla A, Mahmoudian M, et al. A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-06735-8.
Topf M, Baker ML, Marti-Renom MA, Chiu W, Sali A. Refinement of protein structures by iterative comparative modeling and CryoEM density fitting. J Mol Biol. 2006;357:1655-68. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16490207.
Torre I, González-Tendero A, García-Cañadilla P, et al. Permanent cardiac sarcomere changes in a rabbit model of intrauterine growth restriction. PLoS One. 2014;9(11):e113067. doi:10.1371/journal.pone.0113067.
Torrent-Vernetta A, Gaboli M, Castillo-Corullón S, et al. Incidence and Prevalence of Children's Diffuse Lung Disease in Spain. Arch Bronconeumol. 2022;58(1):22-29. doi:10.1016/j.arbres.2021.06.001.
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.
Torres JS, Espert IB, Dominguez AT, 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. 2012;9(4):1245 - 1256. doi:10.1109/TCBB.2012.49.
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.
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.
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.
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.
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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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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.
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.
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.
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.