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Artykuły w czasopismach na temat "Sequence motif"
Roebuck, K. A., D. P. Szeto, K. P. Green, Q. N. Fan i W. E. Stumph. "Octamer and SPH motifs in the U1 enhancer cooperate to activate U1 RNA gene expression". Molecular and Cellular Biology 10, nr 1 (styczeń 1990): 341–52. http://dx.doi.org/10.1128/mcb.10.1.341-352.1990.
Pełny tekst źródłaRoebuck, K. A., D. P. Szeto, K. P. Green, Q. N. Fan i W. E. Stumph. "Octamer and SPH motifs in the U1 enhancer cooperate to activate U1 RNA gene expression." Molecular and Cellular Biology 10, nr 1 (styczeń 1990): 341–52. http://dx.doi.org/10.1128/mcb.10.1.341.
Pełny tekst źródłaXING, ERIC P., WEI WU, MICHAEL I. JORDAN i RICHARD M. KARP. "LOGOS: A MODULAR BAYESIAN MODEL FOR DE NOVO MOTIF DETECTION". Journal of Bioinformatics and Computational Biology 02, nr 01 (marzec 2004): 127–54. http://dx.doi.org/10.1142/s0219720004000508.
Pełny tekst źródłaZhai, Xiandun, i Adilai Tuerxun. "DNA Sequence Specificity Prediction Algorithm Based on Artificial Intelligence". Mathematical Problems in Engineering 2022 (3.10.2022): 1–8. http://dx.doi.org/10.1155/2022/4150106.
Pełny tekst źródłaWang, Mengchi, David Wang, Kai Zhang, Vu Ngo, Shicai Fan i Wei Wang. "Motto: Representing Motifs in Consensus Sequences with Minimum Information Loss". Genetics 216, nr 2 (19.08.2020): 353–58. http://dx.doi.org/10.1534/genetics.120.303597.
Pełny tekst źródłaWright, Elisé P., Mahmoud A. S. Abdelhamid, Michelle O. Ehiabor, Melanie C. Grigg, Kelly Irving, Nicole M. Smith i Zoë A. E. Waller. "Epigenetic modification of cytosines fine tunes the stability of i-motif DNA". Nucleic Acids Research 48, nr 1 (28.11.2019): 55–62. http://dx.doi.org/10.1093/nar/gkz1082.
Pełny tekst źródłaMAURER-STROH, SEBASTIAN, HE GAO, HAO HAN, LIES BAETEN, JOOST SCHYMKOWITZ, FREDERIC ROUSSEAU, LOUXIN ZHANG i FRANK EISENHABER. "MOTIF DISCOVERY WITH DATA MINING IN 3D PROTEIN STRUCTURE DATABASES: DISCOVERY, VALIDATION AND PREDICTION OF THE U-SHAPE ZINC BINDING ("HUF-ZINC") MOTIF". Journal of Bioinformatics and Computational Biology 11, nr 01 (luty 2013): 1340008. http://dx.doi.org/10.1142/s0219720013400088.
Pełny tekst źródłaLiu, Xiang-Qin, i Jing Yang. "Bacterial Thymidylate Synthase with Intein, Group II Intron, and Distinctive ThyX Motifs". Journal of Bacteriology 186, nr 18 (15.09.2004): 6316–19. http://dx.doi.org/10.1128/jb.186.18.6316-6319.2004.
Pełny tekst źródłaPal, Soumitra, Jan Hoinka i Teresa M. Przytycka. "Co-SELECT reveals sequence non-specific contribution of DNA shape to transcription factor binding in vitro". Nucleic Acids Research 47, nr 13 (21.06.2019): 6632–41. http://dx.doi.org/10.1093/nar/gkz540.
Pełny tekst źródłaGunawardana, D., V. A. Likic i K. R. Gayler. "A Comprehensive Bioinformatics Analysis of the Nudix Superfamily inArabidopsis thaliana". Comparative and Functional Genomics 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/820381.
Pełny tekst źródłaRozprawy doktorskie na temat "Sequence motif"
Leung, Chi-ming. "Motif discovery for DNA sequences". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3859755X.
Pełny tekst źródłaLeung, Chi-ming, i 梁志銘. "Motif discovery for DNA sequences". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3859755X.
Pełny tekst źródłaLiu, Agatha H. "Motif-based mining of protein sequences /". Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6894.
Pełny tekst źródłaDinh, Hieu Trung. "Algorithms for DNA Sequence Assembly and Motif Search". University of Connecticut, 2013.
Znajdź pełny tekst źródłaSiu, Man-hung. "Finding motif pairs from protein interaction networks". Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987760.
Pełny tekst źródłaSiu, Man-hung, i 蕭文鴻. "Finding motif pairs from protein interaction networks". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987760.
Pełny tekst źródłaAl-Ouran, Rami. "Motif Selection: Identification of Gene Regulatory Elements using Sequence CoverageBased Models and Evolutionary Algorithms". Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449003717.
Pełny tekst źródłaLin, Jasper Chua. "Application of the Trp-cage motif to polypeptide folding questions /". Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/8684.
Pełny tekst źródłaChen, Bernard. "Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries". Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/42.
Pełny tekst źródłaPei, Shermin. "Identification of functional RNA structures in sequence data". Thesis, Boston College, 2016. http://hdl.handle.net/2345/bc-ir:107275.
Pełny tekst źródłaThesis advisor: Peter Clote
Structured RNAs have many biological functions ranging from catalysis of chemical reactions to gene regulation. Many of these homologous structured RNAs display most of their conservation at the secondary or tertiary structure level. As a result, strategies for natural structured RNA discovery rely heavily on identification of sequences sharing a common stable secondary structure. However, correctly identifying the functional elements of the structure continues to be challenging. In addition to studying natural RNAs, we improve our ability to distinguish functional elements by studying sequences derived from in vitro selection experiments to select structured RNAs that bind specific proteins. In this thesis, we seek to improve methods for distinguishing functional RNA structures from arbitrarily predicted structures in sequencing data. To do so, we developed novel algorithms that prioritize the structural properties of the RNA that are under selection. In order to identify natural structured ncRNAs, we bring concepts from evolutionary biology to bear on the de novo RNA discovery process. Since there is selective pressure to maintain the structure, we apply molecular evolution concepts such as neutrality to identify functional RNA structures. We hypothesize that alignments corresponding to structured RNAs should consist of neutral sequences. During the course of this work, we developed a novel measure of neutrality, the structure ensemble neutrality (SEN), which calculates neutrality by averaging the magnitude of structure retained over all single point mutations to a given sequence. In order to analyze in vitro selection data for RNA-protein binding motifs, we developed a novel framework that identifies enriched substructures in the sequence pool. Our method accounts for both sequence and structure components by abstracting the overall secondary structure into smaller substructures composed of a single base-pair stack. Unlike many current tools, our algorithm is designed to deal with the large data sets coming from high-throughput sequencing. In conclusion, our algorithms have similar performance to existing programs. However, unlike previous methods, our algorithms are designed to leverage the evolutionary selective pressures in order to emphasize functional structure conservation
Thesis (PhD) — Boston College, 2016
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Biology
Książki na temat "Sequence motif"
A motif of mathematics: [history and application of the mediant and the Farey sequence]. Boston: Docent Press, 2011.
Znajdź pełny tekst źródłaAitken, Alastair. Identification of protein consensus sequences: Active site motifs, phosphorylation, and other post-translational modifications. New York: Ellis Horwood, 1990.
Znajdź pełny tekst źródłaAitken, Alastair. Identification of protein consensus sequences: Active site motifs, phosphorylation, and other post-translational modifications. New York: Ellis Horwood, 1990.
Znajdź pełny tekst źródłaComics and the city: Urban space in print, picture, and sequence. New York: Continuum, 2010.
Znajdź pełny tekst źródłaTaylor, Catherine Yvonne. Analysis of protein binding motifs in the nucleotide sequence of the human [gamma]-actin gene promoter. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.
Znajdź pełny tekst źródłaSun, Qing. Generation and characterization of antibodies with defined specificity towards fibronectin-binding sequences within the D-motifs of staphylococcus. Ottawa: National Library of Canada, 1998.
Znajdź pełny tekst źródłaRowett, Catherine. Introduction and Summary for Part IV: Plato’s Theaetetus. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199693658.003.0009.
Pełny tekst źródłaIdentification of Protein Consensus Sequences: Active Site Motifs, Phosphorylation, and Other Posttranslational Modifications (Ellis Horwood Books in the Biological Sciences). Ellis Horwood Ltd, 1990.
Znajdź pełny tekst źródłaHicks, Matthew Raymond. Coiled-coil assembly by proteins and peptides with unusual sequence motifs. 2000.
Znajdź pełny tekst źródła(Contributor), P. Bengert, T. Dandekar (Contributor), D. Ostareck (Contributor), A. Ostareck-Lederer (Contributor) i Thomas Dandekar (Editor), red. RNA Motifs and Regulatory Elements. Wyd. 2. Springer, 2002.
Znajdź pełny tekst źródłaCzęści książek na temat "Sequence motif"
Han, Shin-Kap. "Motif of Sequence, Motif in Sequence". W Life Course Research and Social Policies, 21–38. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04969-4_2.
Pełny tekst źródłaKim, Ju Han. "Motif and Regulatory Sequence Analysis". W Genome Data Analysis, 189–211. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1942-6_11.
Pełny tekst źródłaChen, Bernard. "Protein Sequence Motif Information Discovery". W Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics, 41–55. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118567869.ch2.
Pełny tekst źródłaLiang, Jie, i Ronald Jackups. "Sequence and Spatial Motif Discovery in Short Sequence Fragments". W Encyclopedia of Algorithms, 1945–52. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_601.
Pełny tekst źródłaLiang, Jie, i Ronald Jackups. "Sequence and Spatial Motif Discovery in Short Sequence Fragments". W Encyclopedia of Algorithms, 1–10. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27848-8_601-1.
Pełny tekst źródłaLiu, Jin S., Mayetri Gupta, Xiaole Liu, Linda Mayerhofere i Charles E. Lawrence. "Statistical Models for Biological Sequence Motif Discovery". W Case Studies in Bayesian Statistics, 3–32. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4612-2078-7_1.
Pełny tekst źródłaWyatt, Jacqueline R., i C. A. Stein. "Oligonucleotides Containing the G-Quartet Sequence Motif". W Applications of Antisense Therapies to Restenosis, 133–40. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5183-6_8.
Pełny tekst źródłaZheleva, Elena, i Abdullah N. Arslan. "Fast Motif Search in Protein Sequence Databases". W Computer Science – Theory and Applications, 670–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11753728_67.
Pełny tekst źródłaCeci, Michelangelo, Corrado Loglisci, Eliana Salvemini, Domenica D’Elia i Donato Malerba. "Mining Spatial Association Rules for Composite Motif Discovery". W Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 87–109. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6800-5_5.
Pełny tekst źródłaKitakami, Hajime, Tomoki Kanbara, Yasuma Mori, Susumu Kuroki i Yukiko Yamazaki. "Modified PrefixSpan Method for Motif Discovery in Sequence Databases". W Lecture Notes in Computer Science, 482–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45683-x_52.
Pełny tekst źródłaStreszczenia konferencji na temat "Sequence motif"
Chandar, V. Ravindra Krishna, i V. Sathiya Moorthi. "Sequence clustering using motif algorithm". W 2012 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2012. http://dx.doi.org/10.1109/iccci.2012.6158838.
Pełny tekst źródłaYu, Qiang, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter i Jun Huan. "Reference sequence selection for motif searches". W 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359745.
Pełny tekst źródłaPRAKASH, A., M. BLANCHETTE, S. SINHA i M. TOMPA. "MOTIF DISCOVERY IN HETEROGENEOUS SEQUENCE DATA". W Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704856_0033.
Pełny tekst źródłaRamanujam, E., i S. Padmavathi. "Constraint Frequent Motif Detection in sequence datasets". W 2012 Fourth International Conference on Advanced Computing (ICoAC). IEEE, 2012. http://dx.doi.org/10.1109/icoac.2012.6416844.
Pełny tekst źródłaKaraçalı, Bilge. "Hierarchical Motif Vectors for Amino Acid Sequence Alignment". W Biomedical Engineering. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.764-055.
Pełny tekst źródłaNg, Patrick, i Uri Keich. "Factoring local sequence composition in motif significance analysis". W Proceedings of the 19th International Conference. IMPERIAL COLLEGE PRESS, 2008. http://dx.doi.org/10.1142/9781848163324_0002.
Pełny tekst źródłaSayed, Khaled, Nahed Solouma i Yasser Kadah. "Yeast protein function motif extraction based on sequence alignment". W 2011 28th National Radio Science Conference (NRSC). IEEE, 2011. http://dx.doi.org/10.1109/nrsc.2011.5873650.
Pełny tekst źródłaBirch-Hirschfeld, Eckhard, Axel Walter, Anna Gabrielyan, Axel Stelzner, Hartmut Fritzsche i Holger Schütz. "A new parallel triplex motif: sequence dependence of thermal stability". W XIth Symposium on Chemistry of Nucleic Acid Components. Prague: Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, 1999. http://dx.doi.org/10.1135/css199902313.
Pełny tekst źródłaGokalp, Osman. "DNA Sequence Motif Discovery Using Greedy Construction Algorithm Based Techniques". W 2020 5th International Conference on Computer Science and Engineering (UBMK). IEEE, 2020. http://dx.doi.org/10.1109/ubmk50275.2020.9219366.
Pełny tekst źródłaLi, Jiwei, Xianghua Zhang, Chun Yuan, Zhaohui Jiang i Huanqing Feng. "Motif Extraction with Indicative Events for System Call Sequence Classification". W Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.411.
Pełny tekst źródłaRaporty organizacyjne na temat "Sequence motif"
Millan, Jose L. Sequence Motifs Specifying Homing and Metastasis to Bone. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2002. http://dx.doi.org/10.21236/ada407485.
Pełny tekst źródłaYalovsky, Shaul, i Julian Schroeder. The function of protein farnesylation in early events of ABA signal transduction in stomatal guard cells of Arabidopsis. United States Department of Agriculture, styczeń 2002. http://dx.doi.org/10.32747/2002.7695873.bard.
Pełny tekst źródłaYaron, Zvi, Abigail Elizur, Martin Schreibman i Yonathan Zohar. Advancing Puberty in the Black Carp (Mylopharyngodon piceus) and the Striped Bass (Morone saxatilis). United States Department of Agriculture, styczeń 2000. http://dx.doi.org/10.32747/2000.7695841.bard.
Pełny tekst źródłaPawlowski, Wojtek P., i Avraham A. Levy. What shapes the crossover landscape in maize and wheat and how can we modify it. United States Department of Agriculture, styczeń 2015. http://dx.doi.org/10.32747/2015.7600025.bard.
Pełny tekst źródłaAltstein, Miriam, i Ronald Nachman. Rationally designed insect neuropeptide agonists and antagonists: application for the characterization of the pyrokinin/Pban mechanisms of action in insects. United States Department of Agriculture, październik 2006. http://dx.doi.org/10.32747/2006.7587235.bard.
Pełny tekst źródłaMcElwain, Terry F., Eugene Pipano, Guy H. Palmer, Varda Shkap, Stephn A. Hines i Wendy C. Brown. Protection of Cattle against Babesiosis: Immunization against Babesia bovis with an Optimized RAP-1/Apical Complex Construct. United States Department of Agriculture, wrzesień 1999. http://dx.doi.org/10.32747/1999.7573063.bard.
Pełny tekst źródłaPalmer, Guy, Varda Shkap, Wendy Brown i Thea Molad. Control of bovine anaplasmosis: cytokine enhancement of vaccine efficacy. United States Department of Agriculture, marzec 2007. http://dx.doi.org/10.32747/2007.7695879.bard.
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