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Artykuły w czasopismach na temat "Promoter Recognition"
Fickett, James W., i Artemis G. Hatzigeorgiou. "Eukaryotic Promoter Recognition". Genome Research 7, nr 9 (1.09.1997): 861–78. http://dx.doi.org/10.1101/gr.7.9.861.
Pełny tekst źródłaMao, Steve. "Mechanism of promoter recognition". Science 362, nr 6421 (20.12.2018): 1372.11–1374. http://dx.doi.org/10.1126/science.362.6421.1372-k.
Pełny tekst źródłaShen, Li, Xiaogeng Feng, Yuan Yuan, Xudong Luo, Thomas P. Hatch, Kelly T. Hughes, Jun S. Liu i You-xun Zhang. "Selective Promoter Recognition by Chlamydial σ28 Holoenzyme". Journal of Bacteriology 188, nr 21 (25.08.2006): 7364–77. http://dx.doi.org/10.1128/jb.01014-06.
Pełny tekst źródłaBajic, V. B., S. H. Seah, A. Chong, G. Zhang, J. L. Y. Koh i V. Brusic. "Dragon Promoter Finder: recognition of vertebrate RNA polymerase II promoters". Bioinformatics 18, nr 1 (1.01.2002): 198–99. http://dx.doi.org/10.1093/bioinformatics/18.1.198.
Pełny tekst źródłaBUSBY, S. "Promoter structure, promoter recognition, and transcription activation in prokaryotes". Cell 79, nr 5 (grudzień 1994): 743–46. http://dx.doi.org/10.1016/0092-8674(94)90063-9.
Pełny tekst źródłaBrunner, M., i H. Bujard. "Promoter recognition and promoter strength in the Escherichia coli system." EMBO Journal 6, nr 10 (październik 1987): 3139–44. http://dx.doi.org/10.1002/j.1460-2075.1987.tb02624.x.
Pełny tekst źródłaDeng, Wensheng, Barbora Malecová, Thomas Oelgeschläger i Stefan G. E. Roberts. "TFIIB Recognition Elements Control the TFIIA-NC2 Axis in Transcriptional Regulation". Molecular and Cellular Biology 29, nr 6 (29.12.2008): 1389–400. http://dx.doi.org/10.1128/mcb.01346-08.
Pełny tekst źródłaHutchinson, Gordon. "International workshop tackles promoter recognition problem". Trends in Genetics 12, nr 4 (kwiecień 1996): 159. http://dx.doi.org/10.1016/0168-9525(96)30021-8.
Pełny tekst źródłaLukashin, A. V., V. V. Anshelevich, B. R. Amirikyan, A. I. Gragerov i M. D. Frank-Kamenetskii. "Neural Network Models for Promoter Recognition". Journal of Biomolecular Structure and Dynamics 6, nr 6 (czerwiec 1989): 1123–33. http://dx.doi.org/10.1080/07391102.1989.10506540.
Pełny tekst źródłaWang, Lei, Yuli Guo i Jay D. Gralla. "Regulation of Sigma 54-Dependent Transcription by Core Promoter Sequences: Role of −12 Region Nucleotides". Journal of Bacteriology 181, nr 24 (15.12.1999): 7558–65. http://dx.doi.org/10.1128/jb.181.24.7558-7565.1999.
Pełny tekst źródłaRozprawy doktorskie na temat "Promoter Recognition"
Li, Xiaomeng. "Human Promoter Recognition Based on Principal Component Analysis". Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3656.
Pełny tekst źródłaLi, Xiaomeng. "Human Promoter Recognition Based on Principal Component Analysis". University of Sydney, 2008. http://hdl.handle.net/2123/3656.
Pełny tekst źródłaThis thesis presents an innovative human promoter recognition model HPR-PCA. Principal component analysis (PCA) is applied on context feature selection DNA sequences and the prediction network is built with the artificial neural network (ANN). A thorough literature review of all the relevant topics in the promoter prediction field is also provided. As the main technique of HPR-PCA, the application of PCA on feature selection is firstly developed. In order to find informative and discriminative features for effective classification, PCA is applied on the different n-mer promoter and exon combined frequency matrices, and principal components (PCs) of each matrix are generated to construct the new feature space. ANN built classifiers are used to test the discriminability of each feature space. Finally, the 3 and 5-mer feature matrix is selected as the context feature in this model. Two proposed schemes of HPR-PCA model are discussed and the implementations of sub-modules in each scheme are introduced. The context features selected by PCA are III used to build three promoter and non-promoter classifiers. CpG-island modules are embedded into models in different ways. In the comparison, Scheme I obtains better prediction results on two test sets so it is adopted as the model for HPR-PCA for further evaluation. Three existing promoter prediction systems are used to compare to HPR-PCA on three test sets including the chromosome 22 sequence. The performance of HPR-PCA is outstanding compared to the other four systems.
Pieretti, Simone. "ToxT promoter recognition by ToxR transcription factor, a co-activator within the Vibrio cholerae virulence cascade". Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/396666.
Pełny tekst źródłaEl cólera es una infección diarreica aguda causada por la bacteria Vibrio cholerae. La producción de la toxina colérica se controla a través del regulador maestro de virulencia ToxT, cuya activación se lleva a cabo por las proteínas de membrana ToxR y TcpP. Este proyecto de tesis tiene como objetivo el estudio de los complejos formados por ToxR junto con el ADN, dado que se conoce que ToxR se une al promotor toxT para reclutar TcpP y consecuentemente la ARN polimerasa, produciendo la activación de la transcripción. Mediante cristalografía de rayos X hemos resuelto la estructura de tres complejos del dominio de unión a ADN de ToxR con oligonucleótidos de 20, 40 y 25 pares de bases a resoluciones de 2.0 A, 2.6 A y 3.2 A, respectivamente. De acuerdo con las tres estructuras, ToxR es capaz de unirse a una amplia región del promotor toxT que se expande desde la posición -97 hasta la posición -45. Teniendo en cuenta el modelo integrado de las tres estructuras, cuatro moléculas de ToxR se unen al promotor toxT en tándem e invertidas. En las tres estructuras, ToxR muestra un tipo de plegamiento winged helix-turn-helix (w-HTH). El ala (wing) interactúa con el surco menor del ADN, mientras que la hélice de reconocimiento penetra en el surco mayor. Comparando ToxR con el resto de proteínas de la familia w-HTH, hemos encontrado un nuevo elemento estructural, el ala secundaria (secondary wing), que interacciona con el ADN. La determinación de la estructura de los tres complejos es importante para definir con mayor precisión el sitio de unión de ToxR en el promotor toxT. Este sitio se caracteriza por once bases con una secuencia rica en A-T seguida de una caja CATA/CATG/TGTA, donde las dos últimas bases contactan directamente y específicamente con la proteína. Proponemos que ToxR actuaría como co-activador de la transcripción de toxT a diferentes niveles: (i) podría ser responsable de capturar el ADN y mantenerlo cerca de la membrana citoplasmática, (ii) podría jugar un papel clave en el desplazamiento de H-NS, (iii) podría reclutar TcpP y estabilizar su interacción con el promotor.
Sanderson, Andrew. "Recognition of 'extended-10' elements of bacterial promoters". Thesis, University of Birmingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275668.
Pełny tekst źródłaZhang, Da Jiang. "Involvement of the Polypyrimidine Tract-Binding Protein-Associated Splicing Factor (PSF) in the Hepatitis Delta Virus (HDV) RNA-Templated Transcription". Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31095.
Pełny tekst źródłaMiroslavova, Nora Svetoslavova. "Studies on the recognition of Escherichia coli promoters and their elements". Thesis, University of Birmingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422293.
Pełny tekst źródłaUgolini, Matteo. "Recognition of microbial viability via TLR8 promotes innate and adaptive immunity". Doctoral thesis, Humboldt-Universität zu Berlin, 2019. http://dx.doi.org/10.18452/20035.
Pełny tekst źródłaThe detection of the so-called vitality-associated molecular patterns (vita-PAMPs) signals to the immune system the presence of living microorganisms and triggers an increased immune response. The present study investigated the detection of bacterial vitality by human antigen-presenting cells (APC), as well as the effects of this recognition events on adaptive immunity. Transcriptome analysis of human monocytes showed a selective transcriptional response to live versus heat-killed bacteria. Among others, the inflammatory cytokines IL-12 and TNF were expressed almost exclusively in response to live bacteria. Moreover, the detection of bacterial vitality is conserved in humans, pigs, mice and fish. In mice, bacterial RNA was identified as a bacterial vita-PAMP. In human monocytes, supplementation of dead bacteria with bacterial RNA or with synthetic ligands of toll-like receptor (TLR) 7 and TLR8, but not with other TLR ligands, resulted in the reconstitution of the TNF and IL-12 responses. Conversely, silencing of TLR8 inhibited vita-PAMP-dependent cytokine production. T-follicular helper cells (TFH) play a central role in the initiation of humoral immune responses. Here, the recognition of living bacteria, bacterial RNA or synthetic TLR8 ligands by APCs was identified as a stimulus for robust TFH cell differentiation. TFH differentiation is dependent on the recognition of bacterial RNA via TLR8 and the production of IL-12. Immunization of pigs with a live bacterial vaccine elicited significantly more robust TFH cell and antibody responses than immunization with the heat-killed version of the same vaccine. In summary, we identified TLR8 as the first known vita-PAMP receptor in human and demonstrated its pivotal role in TLR8-mediated “viability recognition” for the induction of TFH cells and vaccine reactions.
Hedemalm, Emil. "Online Transportation Mode Recognition and an Application to Promote Greener Transportation". Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65348.
Pełny tekst źródłaDel av Erasmus Mundus PERCCOM. Redovisning skedde på anordnad summer school av partner-universitet där hela konsortiet närvarade.
Keselowsky, Benjamin George. "Engineering surgaces to direct integrin binding and signaling to promote osteoblast differentiation". Available online, Georgia Institute of Technology, 2004, 2004. http://etd.gatech.edu/theses/available/etd-03152004-111413/.
Pełny tekst źródłaDavid Collard, Committee Member ; Robert Guldberg, Committee Member ; Cheng Zhu, Committee Member ; Elliot Chaikoff, Committee Member ; Harish Radhakrishna, Committee Member ; Andres J. Garcia, Committee Chair. Includes bibliographical references.
Brown, Maria D. "Does Retrieval Practice Among Medical Trainees Promote Recognition, Diagnosis and Treatment of Eating Disorders?" The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606914020488199.
Pełny tekst źródłaKsiążki na temat "Promoter Recognition"
Sanderson, Andrew. Recognition of 'extended-10' elements of bacterial promoters. Birmingham: University of Birmingham, 2003.
Znajdź pełny tekst źródłaBurr, Tom. Recognition of 'extended-10' promoters by RNA polymerase. Birmingham: University of Birmingham, 2000.
Znajdź pełny tekst źródłaGlucksmann, Maria Alexandra. Determinants of N4 virion RNA polymerase-promoter recognition. 1989.
Znajdź pełny tekst źródłaDiversity, Violence, and Recognition: How Recognizing Ethnic Identity Promotes Peace. Oxford University Press, Incorporated, 2020.
Znajdź pełny tekst źródłaSamii, Cyrus, i Elisabeth King. Diversity, Violence, and Recognition: How Recognizing Ethnic Identity Promotes Peace. Oxford University Press, Incorporated, 2020.
Znajdź pełny tekst źródłaReader, Jocelyn, Sarah Lynam, Amy Harper, Gautam Rao, Maya Matheny i Dana M. Roque. Ovarian Tumor Microenvironment and Innate Immune Recognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190248208.003.0004.
Pełny tekst źródłaKistler, S. Ashley. Recognition and Immortality in the Market and Beyond. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038358.003.0004.
Pełny tekst źródłaFrost & Sullivan., red. U.S. electronic access control system markets: High security requirements promote biometric identification. Mountain View, CA: Frost & Sullivan, 1994.
Znajdź pełny tekst źródłaJungbluth, Konstanze, Mônica Savedra i Rita Vallentin, red. Language – Belonging – Politics. Nomos Verlagsgesellschaft mbH & Co. KG, 2022. http://dx.doi.org/10.5771/9783748911548.
Pełny tekst źródłaJan, McArthur, i Napier University, red. PROMOTE: Professional Recognition of Methods of Promoting Teaching and Learning Enhancement : alternative ways of fostering educational development in higher education. Edinburgh: Napier University, 2004.
Znajdź pełny tekst źródłaCzęści książek na temat "Promoter Recognition"
Rani, T. Sobha, S. Durga Bhavani i S. Bapi Raju. "Promoter Recognition Using Neural Network Approaches". W Computational Intelligence and Pattern Analysis in Biological Informatics, 71–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470872352.ch4.
Pełny tekst źródłaBajić, Vladimir B., i Ivan V. Bajić. "Neural Network System for Promoter Recognition". W Future Directions for Intelligent Systems and Information Sciences, 288–305. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1856-7_14.
Pełny tekst źródłaYang, Xinyi, i Annalisa Marsico. "In Silico Promoter Recognition from deepCAGE Data". W Methods in Molecular Biology, 171–99. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4035-6_13.
Pełny tekst źródłaLangroudi, Seyyed Mohammad Shaheri, Hamid Reza Hamidi i Shokooh Kermanshahani. "A Parallel Algorithm for Eukaryotic Promoter Recognition". W Communications in Computer and Information Science, 468–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33495-6_36.
Pełny tekst źródłaConilione, Paul C., i Dianhui Wang. "E-Coli Promoter Recognition Using Neural Networks with Feature Selection". W Lecture Notes in Computer Science, 61–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538356_7.
Pełny tekst źródłaTinnungwattana, Orawan, i Chidchanok Lursinsap. "Statistical Feature Selection from Chaos Game Representation for Promoter Recognition". W Computational Science – ICCS 2006, 838–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758525_112.
Pełny tekst źródłaGordon, Leo, Alexey Ya Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov i Victor V. Solovyev. "Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel". W Advances in Intelligent Data Analysis V, 386–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45231-7_36.
Pełny tekst źródłaXu, Wenxuan, Wenzheng Bao, Lin Yuan i ZhiChao Jiang. "DSD-SVMs: Human Promoter Recognition Based on Multiple Deep Divergence Features". W Intelligent Computing Theories and Application, 515–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63309-1_46.
Pełny tekst źródłaBusby, Stephen, Annie Kolb i Henri Buc. "Where it all Begins: An Overview of Promoter Recognition and Open Complex Formation". W RNA Polymerases as Molecular Motors, 13–37. Cambridge: Royal Society of Chemistry, 2009. http://dx.doi.org/10.1039/9781847559982-00013.
Pełny tekst źródłaWijffelman, Carel, Bas Zaat, Herman Spaink, Ine Mulders, Ton van Brussel, Rob Okker, Elly Pees, Ruud de Maagd i Ben Lugtenberg. "Induction of Rhizobium Nod Genes by Flavonoids: Differential Adaptation of Promoter, nodD Gene and Inducers for Various Cross-Inoculation Groups". W Recognition in Microbe-Plant Symbiotic and Pathogenic Interactions, 123–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71652-2_12.
Pełny tekst źródłaStreszczenia konferencji na temat "Promoter Recognition"
Zeng, Jia, Xiao-Qin Cao i Hong Yan. "Human Promoter Recognition using Kullback-Leibler Divergence". W 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370721.
Pełny tekst źródłaTao, Lan, Ning Fan i Zexuan Zhu. "A hybrid evolutionary algorithm for promoter recognition". W 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2012. http://dx.doi.org/10.1109/bmei.2012.6512883.
Pełny tekst źródłaByeon, B., i K. Rasheed. "Bayesian Networks and Genetic Algorithms for Promoter Recognition". W IASTED Technology Conferences 2010. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.728-030.
Pełny tekst źródłaGuzman-Ruiz, Omar, Manuel Mejia-Lavalle, Alicia Martinez i Yasmin Hernandez. "Machine learning Algorithms applied to Genetic Promoter Sequences Recognition". W 2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2020. http://dx.doi.org/10.1109/icmeae51770.2020.00016.
Pełny tekst źródłaQian, Ying, Yu Zhang, Bingyu Guo, Shasha Ye, Yuzhu Wu i Jiongmin Zhang. "An Improved Promoter Recognition Model Using Convolutional Neural Network". W 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018. http://dx.doi.org/10.1109/compsac.2018.00072.
Pełny tekst źródłaTao, Lan, Huakui Chen, Yanmeng Xu i Zexuan Zhu. "A New Promoter Recognition Method Based on Features Optimal Selection". W 2011 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2011. http://dx.doi.org/10.1109/icbbe.2011.5779973.
Pełny tekst źródłaShuo, Guo, Yuan De-cheng, Guo Wa, Zhang Bochen i Li Jin-na. "Recognition of human promoter based on GMM and rough set". W 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8027653.
Pełny tekst źródłaRani, T. Sobha, S. Durga Bhavani i Raju S. Bapi. "Promoter Recognition using dinucleotide Features : A Case Study for E.Coli". W 9th International Conference on Information Technology (ICIT'06). IEEE, 2006. http://dx.doi.org/10.1109/icit.2006.75.
Pełny tekst źródłaKamath, Uday, Kenneth A. De Jong i Amarda Shehu. "An evolutionary-based approach for feature generation: Eukaryotic promoter recognition". W 2011 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.5949629.
Pełny tekst źródłaBASHFORD, J. D. "INVESTIGATING ROLES OF DNA FLEXIBILITY IN PROMOTER RECOGNITION AND REGULATION". W Proceedings of the 3rd Annual RECOMB Workshop. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2008. http://dx.doi.org/10.1142/9781848162525_0021.
Pełny tekst źródłaRaporty organizacyjne na temat "Promoter Recognition"
Iffat, Idris. Best Practices in CRSV Monitoring and Early Warning. Institute of Development Studies, czerwiec 2022. http://dx.doi.org/10.19088/k4d.2022.126.
Pełny tekst źródłaHall, Mark, i Neil Price. Medieval Scotland: A Future for its Past. Society of Antiquaries of Scotland, wrzesień 2012. http://dx.doi.org/10.9750/scarf.09.2012.165.
Pełny tekst źródłaGreenhill, Lucy, Christopher Leakey i Daniela Diz. Second Workshop report: Mobilising the science community in progessing towards a sustainable and inclusive ocean economy. Scottish Universities Insight Institute, lipiec 2021. http://dx.doi.org/10.15664/10023.23693.
Pełny tekst źródłaYaari, Menahem, Elhanan Helpman, Ariel Weiss, Nathan Sussman, Ori Heffetz, Hadas Mandel, Avner Offer i in. Sustainable Well-Being in Israel. The Israel Academy of Sciences and Humanities, czerwiec 2021. http://dx.doi.org/10.52873/policy.2021.wellbeing-en.
Pełny tekst źródłaHenderson, Tim, Vincent Santucci, Tim Connors i Justin Tweet. National Park Service geologic type section inventory: Southern Plains Inventory & Monitoring Network. National Park Service, czerwiec 2022. http://dx.doi.org/10.36967/nrr-2293756.
Pełny tekst źródłaElmann, Anat, Orly Lazarov, Joel Kashman i Rivka Ofir. therapeutic potential of a desert plant and its active compounds for Alzheimer's Disease. United States Department of Agriculture, marzec 2015. http://dx.doi.org/10.32747/2015.7597913.bard.
Pełny tekst źródłaHenderson, Tim, Vincent Santucci, Tim Connors i Justin Tweet. National Park Service geologic type section inventory: Sonoran Desert Inventory & Monitoring Network. National Park Service, wrzesień 2022. http://dx.doi.org/10.36967/2294374.
Pełny tekst źródłaPotts, Tavis, i Rebecca Ford. Leading from the front? Increasing Community Participation in a Just Transition to Net Zero in the North-East of Scotland. Scottish Universities Insight Institute, grudzień 2022. http://dx.doi.org/10.57064/2164/19722.
Pełny tekst źródłaSaville, Alan, i Caroline Wickham-Jones, red. Palaeolithic and Mesolithic Scotland : Scottish Archaeological Research Framework Panel Report. Society for Antiquaries of Scotland, czerwiec 2012. http://dx.doi.org/10.9750/scarf.06.2012.163.
Pełny tekst źródłaHenderson, Tim, Vincent Santucci, Tim Connors i Justin Tweet. National Park Service geologic type section inventory: National Capital Region Inventory & Monitoring Network. National Park Service, lipiec 2022. http://dx.doi.org/10.36967/2293865.
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