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20101por Zhang, Yu, Luo, Jie, Wang, Xiao, Wang, Han-Lin, Zhang, Xiu-Ling, Gan, Ting-Qing, Chen, Gang, Luo, Dian-Zhong“…Bioinformatics analyses, including Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes, protein-protein interactions (PPIs) and network analysis, were performed to investigate the potential functions, pathways and networks of the target genes. …”
Publicado 2018
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20102“…To determine the functions of the proteins, 38 co-expressed DAPs from the two groups were annotated using the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analytical tools. …”
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20103“…The gene-gene interactions in this network differed in the different breeds. Gene ontology enrichment analysis of genes in the networks showed Regulation of ARF GTPase was very significant (FDR ≤ 0.0098) on Holstein. …”
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20104por Nemade, Harshal, Chaudhari, Umesh, Acharya, Aviseka, Hescheler, Jürgen, Hengstler, Jan Georg, Papadopoulos, Symeon, Sachinidis, Agapios“…We also identified 58 deregulated genes consisting of 33 upregulated and 25 downregulated genes in hPSC-CMs after ETP treatment. Gene ontology (GO) and pathway analysis showed that most upregulated genes are enriched in GO categories like positive regulation of apoptotic process, regulation of cell death, and mitochondria organization, whereas most downregulated genes were enriched in GO categories like cytoskeletal organization, muscle contraction, and Ca(2+) ion homeostasis. …”
Publicado 2018
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20105por Wang, Xun, Lin, Lijin, Tang, Yi, Xia, Hui, Zhang, Xiancong, Yue, Maolan, Qiu, Xia, Xu, Ke, Wang, Zhihui“…More than 3000 differentially expressed genes were identified. The gene ontology analysis revealed that more categories were significantly enriched in ‘Shiranui’ than in ‘Kiyomi’ at both developmental stages. …”
Publicado 2018
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20106por Rahman, Md Shaifur, Spitzhorn, Lucas-Sebastian, Wruck, Wasco, Hagenbeck, Carsten, Balan, Percy, Graffmann, Nina, Bohndorf, Martina, Ncube, Audrey, Guillot, Pascale V., Fehm, Tanja, Adjaye, James“…Moreover, AF-MSCs shared more genes with human kidney cells than with native MSCs and gene ontology terms revealed involvement of biological processes associated with kidney morphogenesis. …”
Publicado 2018
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20107por Wu, Xianglong, Jia, Renyong, Zhou, Jiakun, Wang, Mingshu, Chen, Shun, Liu, Mafeng, Zhu, Dekang, Zhao, Xinxin, Sun, Kunfeng, Yang, Qiao, Wu, Ying, Yin, Zhongqiong, Chen, Xiaoyue, Wang, Jue, Cheng, Anchun“…Dual luciferase reporter assay (DLRA) confirmed that viral dev-miR-D8-3p can directly target the 3’-UTR of CHv US1 gene (p < 0.05). Gene Ontology analysis on host target genes of viral miRNAs were mainly involved in biological regulation, cellular and metabolic processes. …”
Publicado 2018
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20108por Willson, Nicky-Lee, Forder, Rebecca E. A., Tearle, Rick, Williams, John L., Hughes, Robert J., Nattrass, Greg S., Hynd, Philip I.“…Comparisons between the three groups identified 155 significant DE genes. Gene ontology (GO) enrichment and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis of the 155 DE genes showed the FoxO signalling pathway was most enriched (P = 0.001), including genes related to cell cycle regulation and insulin signalling. …”
Publicado 2018
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20109por Lee, Hye Shin, Choi, Jinhyeok, Son, Taekwon, Wee, Hee-Jun, Bae, Sung-Jin, Seo, Ji Hae, Park, Ji Hyun, Ryu, Soo Hyung, Lee, Danbi, Jang, Myoung Kuk, Yu, Eunsil, Chung, Young-Hwa, Kim, Kyu-Won“…RNA sequencing of the liver transcriptome revealed that genes related to ECM accumulation and vascular remodeling were mostly elevated in AKAP12 KO samples. Gene ontology (GO) and bioinformatic pathway analyses identified that the differentially expressed genes were significantly enriched in GO categories and pathways, such as the adenosine 3′,5′-cyclic monophosphate (cAMP) pathway. …”
Publicado 2018
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20110por Li, Baojun, Qiao, Liying, An, Lixia, Wang, Weiwei, Liu, Jianhua, Ren, Youshe, Pan, Yangyang, Jing, Jiongjie, Liu, Wenzhong“…A total of 2091, 4233, and 4131 DE genes were identified in the perirenal, subcutaneous, and tail fat tissues between the GLT and STH breeds, respectively. Gene Ontology (GO) analysis showed that some DE genes were associated with adipose metabolism. …”
Publicado 2018
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20111por Mitchell, Rebecca, Hopcroft, Lisa E M, Baquero, Pablo, Allan, Elaine K, Hewit, Kay, James, Daniel, Hamilton, Graham, Mukhopadhyay, Arunima, O’Prey, Jim, Hair, Alan, Melo, Junia V, Chan, Edmond, Ryan, Kevin M, Maguer-Satta, Véronique, Druker, Brian J, Clark, Richard E, Mitra, Subir, Herzyk, Pawel, Nicolini, Franck E, Salomoni, Paolo, Shanks, Emma, Calabretta, Bruno, Holyoake, Tessa L, Helgason, G Vignir“…RNA sequencing and gene ontology (GO) enrichment were used to detect aberrant transcriptional response in ponatinib-resistant cells. …”
Publicado 2017
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20112por Guo, Wuxia, Liu, Ying, Ng, Wei Lun, Liao, Pei-Chun, Huang, Bing-Hong, Li, Weixi, Li, Chunmei, Shi, Xianggang, Huang, Yelin“…Phylogenetic analyses and divergence time dating revealed a relatively recent split between M. micrantha and M. cordata, i.e., approximately 4.81 million years ago (MYA), after their divergence with M. cordifolia (8.70 MYA). Gene ontology classifications, pathway assignments and differential expression analysis revealed higher representation or significant up-regulation of genes associated with photosynthesis, energy metabolism, protein modification and stress response in M. micrantha than in M. cordata or M. cordifolia. …”
Publicado 2018
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20113por Hügle, Boris, Schippers, Anastasia, Fischer, Nadine, Ohl, Kim, Denecke, Bernd, Ticconi, Fabio, Vastert, Bas, Costa, Ivan G., Haas, Johannes-Peter, Tenbrock, Klaus“…Whole transcriptomes were compared longitudinally and interindividually including gene ontology and motif enrichment analysis of differentially expressed genes. …”
Publicado 2018
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20114por O’Doherty, Alan M., McGettigan, Paul, Irwin, Rachelle E., Magee, David A., Gagne, Dominic, Fournier, Eric, Al-Naib, Abdullah, Sirard, Marc-André, Walsh, Colum P., Robert, Claude, Fair, Trudee“…The overall effects of SOV and IVP on the direction of methylation changes were associated with increased methylation; 70.6% of the differentially methylated loci in SOV-derived conceptuses and 57.9% of the loci in IVP-derived conceptuses were more methylated compared to AI-conceptuses. Ontology analysis of probes associated with intragenic sequences suggests enrichment for terms associated with cancer, cell morphology and growth. …”
Publicado 2018
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20115por He, A., Ning, Y., Wen, Y., Cai, Y., Xu, K., Cai, Y., Han, J., Liu, L., Du, Y., Liang, X., Li, P., Fan, Q., Hao, J., Wang, X., Guo, X., Ma, T., Zhang, F.“…Integrative pathway enrichment analysis of DNA methylation and mRNA expression profiles was performed using integrated analysis of cross-platform microarray and pathway software. Gene ontology (GO) analysis was conducted using the Database for Annotation, Visualization and Integrated Discovery (DAVID). …”
Publicado 2018
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20116por Hung, Kuo-Sheng, Hsiao, Chung-Chi, Pai, Tun-Wen, Hu, Chin-Hwa, Tzou, Wen-Shyong, Wang, Wen-Der, Chen, Yet-Ran“…BACKGROUND: Differential gene expression analysis using RNA-seq data is a popular approach for discovering specific regulation mechanisms under certain environmental settings. Both gene ontology (GO) and KEGG pathway enrichment analysis are major processes for investigating gene groups that participate in common biological responses or possess related functions. …”
Publicado 2018
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20117por Gudys, Kornelia, Guzy-Wrobelska, Justyna, Janiak, Agnieszka, Dziurka, Michał A., Ostrowska, Agnieszka, Hura, Katarzyna, Jurczyk, Barbara, Żmuda, Katarzyna, Grzybkowska, Daria, Śróbka, Joanna, Urban, Wojciech, Biesaga-Koscielniak, Jolanta, Filek, Maria, Koscielniak, Janusz, Mikołajczak, Krzysztof, Ogrodowicz, Piotr, Krystkowiak, Karolina, Kuczyńska, Anetta, Krajewski, Paweł, Szarejko, Iwona“…The study includes mapping of QTLs for physiological and biochemical traits associated with drought tolerance on a high-density function map, projection of QTL confidence intervals on barley physical map, and the retrievement of positional candidate genes (CGs), followed by their prioritization based on Gene Ontology (GO) enrichment analysis. A total of 64 QTLs for 25 physiological and biochemical traits that describe plant water status, photosynthetic efficiency, osmoprotectant and hormone content, as well as antioxidant activity, were positioned on a consensus map, constructed using RIL populations developed from the crosses between European and Syrian genotypes. …”
Publicado 2018
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20118por Wang, Haibo, Zhao, Shuang, Mao, Ke, Dong, Qinglong, Liang, Bowen, Li, Chao, Wei, Zhiwei, Li, Mingjun, Ma, Fengwang“…In those validated QTLs, 258 genes were screened according to their Gene Ontology functional annotations. Among them, 28 genes were identified, which exhibited significant responses to drought stress in ‘Honeycrisp’ and/or ‘Qinguan’. …”
Publicado 2018
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20119“…RESULTS: We investigated the gene expression signatures in the blood of mice exposed to 3 Gy x-rays, 0.75 Gy of neutrons, or to mixed field photon/neutron with the neutron fraction contributing 5, 15%, or 25% of a total 3 Gy radiation dose. Gene ontology and pathway analysis revealed that genes involved in protein ubiquitination pathways were significantly overrepresented in all radiation doses and qualities. …”
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20120por Spinelli, C., Montermini, L., Meehan, B., Brisson, A. R., Tan, S., Choi, D., Nakano, I., Rak, J.“…Abbreviations: CryoTEM: cryo-transmission electron microscopy; DIFF: differentiated GSCs; EGF: epidermal growth factor; DUC: differential ultracentrifugation; EV: extracellular vesicle; FGF: fibroblast growth factor; GBM: glioblastoma multiforme; GFAP: glial fibrillary acidic protein; GO: gene ontology; GSC: glioma stem cells; HBEC-5i: human brain endothelial cells; MES: mesenchymal cells; MTS - [3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt; PMT1: proneural-to-mesenchyman transition cell line 1; PN: proneural cells; TEM: transmission electron microscopy; WB: western blotting…”
Publicado 2018
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