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19881por Galla, Giulio, Barcaccia, Gianni, Ramina, Angelo, Collani, Silvio, Alagna, Fiammetta, Baldoni, Luciana, Cultrera, Nicolò GM, Martinelli, Federico, Sebastiani, Luca, Tonutti, Pietro“…Library-specific cDNA repertories were annotated according to the three main vocabularies of the gene ontology (GO): cellular component, biological process and molecular function. …”
Publicado 2009
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19882por Varshney, Rajeev K, Hiremath, Pavana J, Lekha, Pazhamala, Kashiwagi, Junichi, Balaji, Jayashree, Deokar, Amit A, Vadez, Vincent, Xiao, Yongli, Srinivasan, Ramamurthy, Gaur, Pooran M, Siddique, Kadambot HM, Town, Christopher D, Hoisington, David A“…Of 2,965 (46.3%) significant unigenes, only 2,071 (32.3%) unigenes could be functionally categorised according to Gene Ontology (GO) descriptions. A total of 2,029 sequences containing 3,728 simple sequence repeats (SSRs) were identified and 177 new EST-SSR markers were developed. …”
Publicado 2009
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19883por Gallagher, Iain J, Scheele, Camilla, Keller, Pernille, Nielsen, Anders R, Remenyi, Judit, Fischer, Christian P, Roder, Karim, Babraj, John, Wahlestedt, Claes, Hutvagner, Gyorgy, Pedersen, Bente K, Timmons, James A“…The Benjamini-Hochberg adjusted Gene Ontology profile of the highest ranked targets was metabolic (P < 7.4 × 10(-8)), post-translational modification (P < 9.7 × 10(-5)) and developmental (P < 1.3 × 10(-6)) processes. …”
Publicado 2010
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19884por Guo, Shaogui, Zheng, Yi, Joung, Je-Gun, Liu, Shiqiang, Zhang, Zhonghua, Crasta, Oswald R, Sobral, Bruno W, Xu, Yong, Huang, Sanwen, Fei, Zhangjun“…The unigenes were further functionally annotated by comparing their sequences to different protein and functional domain databases and assigned with Gene Ontology (GO) terms. A biochemical pathway database containing 343 predicted pathways was also created based on the annotations of the unigenes. …”
Publicado 2010
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19885por Fleury, Elodie, Huvet, Arnaud, Lelong, Christophe, de Lorgeril, Julien, Boulo, Viviane, Gueguen, Yannick, Bachère, Evelyne, Tanguy, Arnaud, Moraga, Dario, Fabioux, Caroline, Lindeque, Penelope, Shaw, Jenny, Reinhardt, Richard, Prunet, Patrick, Davey, Grace, Lapègue, Sylvie, Sauvage, Christopher, Corporeau, Charlotte, Moal, Jeanne, Gavory, Frederick, Wincker, Patrick, Moreews, François, Klopp, Christophe, Mathieu, Michel, Boudry, Pierre, Favrel, Pascal“…Approximately 43% of the unique ESTs had significant matches against the SwissProt database and 27% were annotated using Gene Ontology terms. In addition, we identified a total of 208 in silico microsatellites from the ESTs, with 173 having sufficient flanking sequence for primer design. …”
Publicado 2009
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19886por Mondego, Jorge MC, Vidal, Ramon O, Carazzolle, Marcelo F, Tokuda, Eric K, Parizzi, Lucas P, Costa, Gustavo GL, Pereira, Luiz FP, Andrade, Alan C, Colombo, Carlos A, Vieira, Luiz GE, Pereira, Gonçalo AG“…Protein domain and gene ontology analyses suggested differences between Coffea spp. data, mainly in relation to complex sugar synthases and nucleotide binding proteins. …”
Publicado 2011
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19887por Elashoff, Michael R, Wingrove, James A, Beineke, Philip, Daniels, Susan E, Tingley, Whittemore G, Rosenberg, Steven, Voros, Szilard, Kraus, William E, Ginsburg, Geoffrey S, Schwartz, Robert S, Ellis, Stephen G, Tahirkheli, Naheem, Waksman, Ron, McPherson, John, Lansky, Alexandra J, Topol, Eric J“…Biological pathway (gene ontology and literature) and statistical analyses (hierarchical clustering and logistic regression) were used in combination to select 113 genes for RT-PCR analysis including CAD classifiers, cell-type specific markers, and normalization genes. …”
Publicado 2011
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19888por Dondero, Francesco, Banni, Mohamed, Negri, Alessandro, Boatti, Lara, Dagnino, Alessandro, Viarengo, Aldo“…While toxicokinetic modeling did not explain mixture interactions, gene expression profiling and further Gene Ontology-based functional genomics analysis provided clues that the decrement of toxicity may arise from the development of specific toxicodynamics. …”
Publicado 2011
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19889“…Annotation (using DAVID) of the overlapping differential genes revealed that the significant enrichment gene ontology terms were “chemotaxis” and “immune response” for the upregulated genes, and “oxidation reduction” and “programmed cell death” for the downregulated genes. …”
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19890por Lu, Hong, Li, Liyuan, Watson, Edmond R., Williams, Robert W., Geisert, Eldon E., Jablonski, Monica M., Lu, Lu“…Separate data sets were generated which were comprised of strains that harbor either wildtype or mutant Tyrp1 and each was mined individually to identify gene networks that covary significantly with each isoform of Tyrp1. Ontology trees and network graphs were generated to probe essential function and statistical significance of covariation. …”
Publicado 2011
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19891por Chang, Shing-Jyh, Weng, Shun-Long, Hsieh, Jui-Yu, Wang, Tao-Yeuan, Chang, Margaret Dah-Tsyr, Wang, Hsei-Wei“…Gene enrichment analysis according to the Gene Ontology database showed that those 136 genes were associated with cell motility, energy production (including those with oxidative phosphorylation, electron transport and ATP synthesis) and actin cytoskeleton organization, indicating that miR-34a plays a critical role in precursor cell migration. …”
Publicado 2011
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19892por Guo, Shaogui, Liu, Jingan, Zheng, Yi, Huang, Mingyun, Zhang, Haiying, Gong, Guoyi, He, Hongju, Ren, Yi, Zhong, Silin, Fei, Zhangjun, Xu, Yong“…The unigenes were further assigned with gene ontology (GO) terms and mapped to biochemical pathways. …”
Publicado 2011
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19893por Becker, John VW, van der Merwe, Marina M, van Brummelen, Anna C, Pillay, Pamisha, Crampton, Bridget G, Mmutlane, Edwin M, Parkinson, Chris, van Heerden, Fanie R, Crouch, Neil R, Smith, Peter J, Mancama, Dalu T, Maharaj, Vinesh J“…Microarray data analysis identified 572 unique genes that were differentially expressed as a result of the treatment and gene ontology analysis identified various biological processes and molecular functions that were significantly affected. …”
Publicado 2011
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19894por Lawhon, Sara D., Khare, Sangeeta, Rossetti, Carlos A., Everts, Robin E., Galindo, Cristi L., Luciano, Sarah A., Figueiredo, Josely F., Nunes, Jairo E. S., Gull, Tamara, Davidson, George S., Drake, Kenneth L., Garner, Harold R., Lewin, Harris A., Bäumler, Andreas J., Adams, Leslie Garry“…Gene expression changes mapped to 219 molecular interaction pathways and 1620 gene ontology groups. Bayesian network modeling identified effects of infection on several interrelated signaling pathways including MAPK, Phosphatidylinositol, mTOR, Calcium, Toll-like Receptor, CCR3, Wnt, TGF-β, and Regulation of Actin Cytoskeleton and Apoptosis that were used to model of host-pathogen interactions. …”
Publicado 2011
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19895por Bermejo-Martin, Jesus F, Martin-Loeches, Ignacio, Rello, Jordi, Antón, Andres, Almansa, Raquel, Xu, Luoling, Lopez-Campos, Guillermo, Pumarola, Tomás, Ran, Longsi, Ramirez, Paula, Banner, David, Cheuk Ng, Derek, Socias, Lorenzo, Loza, Ana, Andaluz, David, Maravi, Enrique, Gómez-Sánchez, Maria J, Gordón, Mónica, Gallegos, Maria C, Fernandez, Victoria, Aldunate, Sara, León, Cristobal, Merino, Pedro, Blanco, Jesús, Martin-Sanchez, Fernando, Rico, Lucia, Varillas, David, Iglesias, Veronica, Marcos, Maria Ángeles, Gandía, Francisco, Bobillo, Felipe, Nogueira, Begoña, Rojo, Silvia, Resino, Salvador, Castro, Carmen, Ortiz de Lejarazu, Raul, Kelvin, David“…Ingenuity pathway analysis 8.5 (IPA) (Ingenuity Systems, Redwood City, CA) was used to select, annotate and visualize genes by function and pathway (gene ontology). IPA analysis identified those canonical pathways differentially expressed (P < 0.05) between comparison groups. …”
Publicado 2010
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19896Sex-dimorphism in Cardiac Nutrigenomics: effect of Trans fat and/or Monosodium Glutamate consumptionpor Collison, Kate S, Zaidi, Marya Z, Maqbool, Zakia, Saleh, Soad M, Inglis, Angela, Makhoul, Nadine J, Bakheet, Razan, Shoukri, Mohammed, Al-Mohanna, Futwan A“…Enrichment of functional Gene Ontology (GO) categories were related to transcription, phosphorylation and anatomic structure (P < 0.01). …”
Publicado 2011
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19897por Ranjan, Alok, Nigam, Deepti, Asif, Mehar H, Singh, Ruchi, Ranjan, Sanjay, Mantri, Shrikant, Pandey, Neha, Trivedi, Ila, Rai, Krishan Mohan, Jena, Satya N, Koul, Bhupendra, Tuli, Rakesh, Pathre, Uday V, Sawant, Samir V“…The analysis of physiological measurements and gene expression profiling showed that Vagad has the inherent ability to sense drought at a much earlier stage and to respond to it in a much more efficient manner than does RAHS-14. Gene Ontology (GO) studies showed that the phenyl propanoid pathway, pigment biosynthesis, polyketide biosynthesis, and other secondary metabolite pathways were enriched in Vagad under control and drought conditions as compared with RAHS-14. …”
Publicado 2012
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19898por Buxbaum, Joseph D, Betancur, Catalina, Bozdagi, Ozlem, Dorr, Nate P, Elder, Gregory A, Hof, Patrick R“…METHODS: To address this, we made use of a list of 112 disease genes etiologically involved in ASD to survey, on a large scale and with unbiased methods as well as expert review, phenotypes associated with a targeted disruption of these genes in mice, using the Mammalian Phenotype Ontology database. In addition, we compared the results with similar analyses for human phenotypes. …”
Publicado 2012
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19899por Lepoivre, Cyrille, Bergon, Aurélie, Lopez, Fabrice, Perumal, Narayanan B, Nguyen, Catherine, Imbert, Jean, Puthier, Denis“…To achieve this, InteractomeBrowser relies on a "cell compartments-based layout" that makes use of a subset of the Gene Ontology to map gene products onto relevant cell compartments. …”
Publicado 2012
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19900por Ueno, Saneyoshi, Moriguchi, Yoshinari, Uchiyama, Kentaro, Ujino-Ihara, Tokuko, Futamura, Norihiro, Sakurai, Tetsuya, Shinohara, Kenji, Tsumura, Yoshihiko“…Most (72.8%) tri-SSRs were in coding regions, but 55.6% of the di-SSRs were in non-coding regions; the AT motif was most abundant in 3′ untranslated regions. Gene ontology (GO) annotations showed that six GO terms were significantly overrepresented within SSR-containing contigs. …”
Publicado 2012
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