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Relevant bibliographies by topics / Pattern sequence

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Academic literature on the topic 'Pattern sequence'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Pattern sequence"

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Xue, Linyan, Xiaoke Zhang, Fei Xie, Shuang Liu, and Peng Lin. "Frequent Patterns Algorithm of Biological Sequences based on Pattern Prefix-tree." International Journal of Computers Communications & Control 14, no. 4 (2019): 574–89. http://dx.doi.org/10.15837/ijccc.2019.4.3607.

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In the application of bioinformatics, the existing algorithms cannot be directly and efficiently implement sequence pattern mining. Two fast and efficient biological sequence pattern mining algorithms for biological single sequence and multiple sequences are proposed in this paper. The concept of the basic pattern is proposed, and on the basis of mining frequent basic patterns, the frequent pattern is excavated by constructing prefix trees for frequent basic patterns. The proposed algorithms implement rapid mining of frequent patterns of biological sequences based on pattern prefix trees. In e

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Ezeife, Christie I., Vignesh Aravindan, and Ritu Chaturvedi. "Mining Integrated Sequential Patterns From Multiple Databases." International Journal of Data Warehousing and Mining 16, no. 1 (2020): 1–21. http://dx.doi.org/10.4018/ijdwm.2020010101.

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Existing work on multiple databases (MDBs) sequential pattern mining cannot mine frequent sequences to answer exact and historical queries from MDBs having different table structures. This article proposes the transaction id frequent sequence pattern (TidFSeq) algorithm to handle the difficult problem of mining frequent sequences from diverse MDBs. The TidFSeq algorithm transforms candidate 1-sequences to get transaction subsequences where candidate 1-sequences occurred as (1-sequence, itssubsequenceidlist) tuple or (1-sequence, position id list). Subsequent frequent i-sequences are computed u

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Kotteeswaran, C., V. Khanaa, and A. Rajesh. "Pattern Based Matrix Insertion Deletion System for Efficient Bio Molecular Computing System." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 507–11. http://dx.doi.org/10.1166/jctn.2019.7759.

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The problem of bio molecular computing has been well studied and there are number of approaches discussed for the detection of false gene sequences. However, they suffer to achieve higher performance in the detection of false sequences. To improve the performance of detection of fake molecular patterns, an pattern based approach is discussed in this paper. As of the biomolecular strings a set of patterns, the method first identifies the list of sequences available and based on the set of patterns being maintained, the method identifies the list of patterns present in the gene sequence. Based o

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Kang, Yongyong, Xiaofei Yang, Jiadong Lin, and Kai Ye. "PVTree: A Sequential Pattern Mining Method for Alignment Independent Phylogeny Reconstruction." Genes 10, no. 2 (2019): 73. http://dx.doi.org/10.3390/genes10020073.

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Phylogenetic tree is essential to understand evolution and it is usually constructed through multiple sequence alignment, which suffers from heavy computational burdens and requires sophisticated parameter tuning. Recently, alignment free methods based on k-mer profiles or common substrings provide alternative ways to construct phylogenetic trees. However, most of these methods ignore the global similarities between sequences or some specific valuable features, e.g., frequent patterns overall datasets. To make further improvement, we propose an alignment free algorithm based on sequential patt

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Melchior, Jan, Aya Altamimi, Mehdi Bayati, Sen Cheng, and Laurenz Wiskott. "A neural network model for online one-shot storage of pattern sequences." PLOS ONE 19, no. 6 (2024): e0304076. http://dx.doi.org/10.1371/journal.pone.0304076.

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Based on the CRISP theory (Content Representation, Intrinsic Sequences, and Pattern completion), we present a computational model of the hippocampus that allows for online one-shot storage of pattern sequences without the need for a consolidation process. In our model, CA3 provides a pre-trained sequence that is hetero-associated with the input sequence, rather than storing a sequence in CA3. That is, plasticity on a short timescale only occurs in the incoming and outgoing connections of CA3, not in its recurrent connections. We use a single learning rule named Hebbian descent to train all pla

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Gumulka, M., E. Kapkowska, and D. Maj. "Laying pattern parameters in broiler breeder hens and intrasequence changes in egg composition." Czech Journal of Animal Science 55, No. 10 (2010): 428–35. http://dx.doi.org/10.17221/1698-cjas.

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The aim of the study was to analyze the pattern of oviposition time in laying sequences in broiler breeder hens and to determine a relationship between egg position in the sequence and egg quality. The sequences were described using mean oviposition time (hour) within a sequence, mean lag of oviposition time between successive ovipositions, and mean and cumulative lag of oviposition for a sequence. Egg weight, percentage of egg components and shape index were determined for successive eggs in a sequence. The 2-, 3-, 4-, 5- to 6- and 7- to 9-egg sequences were considered. The light/dark regime

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Alghar, Muhammad Zia, Elly Susanti, and Marhayati Marhayati. "ETHNOMATHEMATICS: ARITHMETIC SEQUENCE PATTERNS OF MINANGKABAU CARVING ON SINGOK GONJONG." Jurnal Pendidikan Matematika (JUPITEK) 5, no. 2 (2022): 145–52. http://dx.doi.org/10.30598/jupitekvol5iss2pp145-152.

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This study aimed to explore the arithmetic sequence pattern found in Minangkabau carvings mounted on singok gonjong. The method used is a qualitative method with an ethnographic approach. Data was collected by observation, interviews, literature studies, and documentation. The object of this study is Minangkabau carving on singok gonjong. The data obtained in this study came fromdirect observation, results of interviews with Minang carving craftsmen, documentation, and literature studies. The results showed three kinds of arithmetic sequence patterns in Minang carvings in singok gonjong. The f

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KEMPE, STEFFEN, JOCHEN HIPP, CARSTEN LANQUILLON, and RUDOLF KRUSE. "MINING FREQUENT TEMPORAL PATTERNS IN INTERVAL SEQUENCES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16, no. 05 (2008): 645–61. http://dx.doi.org/10.1142/s0218488508005546.

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Recently a new type of data source came into the focus of knowledge discovery from temporal data: interval sequences. In contrast to event sequences, interval sequences contain labeled events with a temporal extension. However, existing algorithms for mining patterns from interval sequences proved to be far from satisfying our needs. In brief, we missed an approach that, at the same time, defines support as the number of pattern instances, allows input data that consists of more than one sequence, implements time constraints on a pattern instance, and counts multiple instances of a pattern wit

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Rexie, J. A. M., Kumudha Raimond, Mythily Murugaaboopathy, D. Brindha, and Henock Mulugeta. "Lightweight Pattern Matching Method for DNA Sequencing in Internet of Medical Things." Computational Intelligence and Neuroscience 2022 (September 8, 2022): 1–16. http://dx.doi.org/10.1155/2022/6980335.

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An area of medical science, that is, gaining prominence, is DNA sequencing. Genetic mutations responsible for the disease have been detected using DNA sequencing. The research is focusing on pattern identification methodologies for dealing with DNA-sequencing problems relating to various applications. A few examples of such problems are alignment and assembly of short reads from next generation sequencing (NGS), comparing DNA sequences, and determining the frequency of a pattern in a sequence. The approximate matching of DNA sequences is also well suited for many applications equivalent to the

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Dr., E. Elakkiya*1 &. Dr. S. Ravichandran2. "MAX-CLOSED SPAMBY USING DIRECT BIT POSITION METHOD." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 6, no. 9 (2019): 17–23. https://doi.org/10.5281/zenodo.3461151.

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This paper is Max-Closed SPAM by using Direct Bit Position (Maximal Closed sequential pattern mining). This algorithm is to acquire the maximal Closed Sequential Pattern from Sequence Database. The sequence pattern mining gives more numbers of patterns, closed sequential pattern obtains little number of patterns and maximal closed attain very few sequence patterns. According to the closed Sequential Patterns is long sequence database, the maximal closed pattern is influential by memory and performance. Experimental evaluation has done on UCI Repository Datasets, that shows the algorithm Max Cl

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Dissertations / Theses on the topic "Pattern sequence"

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Smith, Stephen Mark. "Feature based image sequence understanding." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316951.

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Morris, Robin David. "Image sequence restoration using Gobbs distributions." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387724.

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Tang, Fung Michael, and 鄧峰. "Sequence classification and melody tracks selection." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B29742973.

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Tang, Fung Michael. "Sequence classification and melody tracks selection /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25017470.

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Raza, Atif [Verfasser]. "Metaheuristics for Pattern Mining in Big Sequence Data / Atif Raza." Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2021. http://d-nb.info/1231992875/34.

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Tsang, Ka-man. "Norms for the pitch pattern sequence (PPS) test for Cantonese adults." Click to view the E-thesis via HKU Scholars Hub, 2003. http://lookup.lib.hku.hk/lookup/bib/B3889080X.

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Thesis (B.Sc.)--University of Hong Kong, 2003.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 2003." Includes bibliographical references (p. 22-23) Also available in print.

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Zhang, Lin Qi. "Pattern and process of human immunodeficiency virus sequence evolution in vivo." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/11674.

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The research outlined in this thesis was primarily designed to study the quantitative and qualitative variability of plasma viral RNA during the course of HIV-1 infection. The quantitative aspect involved the development of a highly sensitive and reliable RNA-based PCR method which has been used to detect and quantify HIV RNA load directly from patient materials (plasma, serum). High levels of plasma varaemia were observed during the first stage of HIV-1 infection and considerably higher than those observed in symptomatic patients. However, the high viral loads during this period are transient

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Peris, Abril Álvaro. "Interactivity, Adaptation and Multimodality in Neural Sequence-to-sequence Learning." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/134058.

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[ES] El problema conocido como de secuencia a secuencia consiste en transformar una secuencia de entrada en una secuencia de salida. Bajo esta perspectiva se puede atacar una amplia cantidad de problemas, entre los cuales destacan la traducción automática o la descripción automática de objetos multimedia. La aplicación de redes neuronales profundas ha revolucionado esta disciplina, y se han logrado avances notables. Pero los sistemas automáticos todavía producen predicciones que distan mucho de ser perfectas. Para obtener predicciones de gran calidad, los sistemas automáticos se utilizan bajo

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Barnett, Barry Stanley. "Full motion multiparty videoconferencing using motion compensated visual pattern image sequence coding /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Chang, Man-si Menzie, and 張汶詩. "Gaps-In-Noise and pitch pattern sequence tests: norms for Mandarin-speaking adolescents." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44489584.

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Books on the topic "Pattern sequence"

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L, Street R., and Cappella Joseph N, eds. Sequence and pattern in communicative behaviour. E. Arnold, 1985.

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L, Wang Jason T., Shapiro Bruce A, and Shasha Dennis Elliott, eds. Pattern discovery in biomolecular data: Tools, techniques, and applications. Oxford University, 1999.

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Inc, ebrary, ed. Advances in genomic sequence analysis and pattern discovery. World Scientific, 2011.

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Kumar, Pradeep. Pattern discovery using sequence data mining: Applications and studies. Information Science Reference, 2012.

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Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin Heidelberg, 2012.

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Ashrafi, S. Evidence of chaotic pattern in solar flux through a reproducible sequence of period-doubling-type bifurcations. National Aeronautics and Space Administration, Goddard Space Flight Center, 1991.

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Taylor, William R., ed. Patterns in Protein Sequence and Structure. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76637-4.

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Taylor, William R. Patterns in Protein Sequence and Structure. Springer Berlin Heidelberg, 1992.

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Westley, Joan. Patterns. Creative Publications, 1987.

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Koomen, Michele. Patterns: What comes next? Bridgestone Press, 2001.

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Book chapters on the topic "Pattern sequence"

1

Zhou, Huiyu, Kaoru Shimada, Shingo Mabu, and Kotaro Hirasawa. "Sequence Pattern Mining." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01088-0_2.

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Arslan, Abdullah N. "Regular Expression Constrained Sequence Alignment." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11496656_28.

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Janson, Svante, Stefano Lonardi, and Wojciech Szpankowski. "On the Average Sequence Complexity." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27801-6_6.

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Dress, Andreas. "Iterative versus simultaneous multiple sequence alignment." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63220-4_65.

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Bafna, Vineet, Eugene L. Lawler, and Pavel A. Pevzner. "Approximation algorithms for multiple sequence alignment." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58094-8_4.

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Ahmed, Said Hassan, and Tor Flå. "Evolutionary Parameters in Sequence Families." In Pattern Recognition in Bioinformatics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04031-3_1.

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Rage, Uday Kiran. "Pattern Discovery in Sequence Databases." In Hands-on Pattern Mining. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6791-8_12.

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Chen, Ting, and Steven S. Skiena. "Trie-based data structures for sequence assembly." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63220-4_61.

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Fernández-Baca, David, Timo Seppäläinen, and Giora Slutzki. "Parametric Multiple Sequence Alignment and Phylogeny Construction." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45123-4_8.

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Ferguson, Michael P. "FEMTO: Fast Search of Large Sequence Collections." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31265-6_17.

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Conference papers on the topic "Pattern sequence"

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Cui, Qing-Zhe, Xin Yuan, Justine Partoon, et al. "Animal Behavior Monitoring Based on Sequence to Sequence Model." In 2024 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2024. https://doi.org/10.1109/icwapr63074.2024.10870490.

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Khanna, Pooja, Neelam, Manohar, Pragya, and Kumud Tiwari. "Performance Estimation of Pattern Matching Algorithms Employing DNA Sequence." In 2024 International Conference on Signal Processing and Advance Research in Computing (SPARC). IEEE, 2024. https://doi.org/10.1109/sparc61891.2024.10828785.

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Lee, A. E., and A. K. C. Wong. "Synthesizing Aligned Random Pattern Digraphs from protein sequence patterns." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112372.

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Szkola, Jaroslaw, and Krzysztof Pancerz. "Pattern Recognition in Sequences Using Multistate Sequence Autoencoding Neural Networks." In 2019 International Conference on Information and Digital Technologies (IDT). IEEE, 2019. http://dx.doi.org/10.1109/dt.2019.8813757.

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Silsbee, Peter L., Alan C. Bovik, and Dapang Chen. "Visual pattern image sequence coding." In Lausanne - DL tentative, edited by Murat Kunt. SPIE, 1990. http://dx.doi.org/10.1117/12.24240.

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Krishna, Vangipuram Radha, and P. V. Kumar. "Optimal pattern search for sequence databases." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579518.

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Gao, Xin, Jie Zhang, and Zhi Wei. "Deep learning for sequence pattern recognition." In 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2018. http://dx.doi.org/10.1109/icnsc.2018.8361281.

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Arokiaraj, S. Panneer, and L. Robert. "Pattern Recognition based DNA Sequence Compressor." In 2012 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2012. http://dx.doi.org/10.1109/iccic.2012.6510211.

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Silsbee, Peter L., and Alan C. Bovik. "Nonuniform visual pattern image sequence coding." In Electronic Imaging '91, San Jose,CA, edited by Mehmet R. Civanlar, Sanjit K. Mitra, and Robert J. Moorhead II. SPIE, 1991. http://dx.doi.org/10.1117/12.45400.

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Luo, Liaofu, Jun Lu, Theodore E. Simos, and George Maroulis. "Sequence Pattern Recognition in Genome Analysis." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Theory and Computation: Old Problems and New Challenges. Lectures Presented at the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007): VOLUME 1. AIP, 2007. http://dx.doi.org/10.1063/1.2835983.

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Reports on the topic "Pattern sequence"

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Ozias-Akins, P., and R. Hovav. molecular dissection of the crop maturation trait in peanut. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134157.bard.

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Crop maturation is one of the most recognized characteristics of peanut, and it is crucial for adaptability and yield. However, not much is known regarding its genetic and molecular control. The goals of this project were to study the molecular-genetic components that control crop maturation in peanut and identify candidate genes. Crop maturation was studied directly by phenotyping the maturity level or through other component traits such as flowering pattern and branching habit. Six different RIL populations (HH, RR, CC, FNC, TGT and FLIC) were used for the genetic analysis. In total, 14 QTLs

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Jordan, Ramon L., Abed Gera, Hei-Ti Hsu, Andre Franck, and Gad Loebenstein. Detection and Diagnosis of Virus Diseases of Pelargonium. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568793.bard.

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Pelargonium (Geranium) is the number one pot plant in many areas of the United States and Europe. Israel and the U.S. send to Europe rooted cuttings, foundation stocks and finished plants to supply a certain share of the market. Geraniums are propagated mainly vegetatively from cuttings. Consequently, viral diseases have been and remain a major threat to the production and quality of the crop. Among the viruses isolated from naturally infected geraniums, 11 are not specific to Pelargonium and occur in other crops while 6 other viruses seem to be limited to geranium. However, several of these v

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Searles, D. B. Foundations for a syntatic pattern recognition system for genomic DNA sequences. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6707698.

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Chi, G. Q., J. R. Dietrich, Z. Chen, and J. Dixon. Oligocene Kugmallit sequence in the Beaufort-Mackenzie Basin of Arctic Canada: Regional sequence stratigraphic framework, potential controls on sedimentation cycles and reservoir patterns. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2009. http://dx.doi.org/10.4095/248234.

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Cohen, Yuval, Christopher A. Cullis, and Uri Lavi. Molecular Analyses of Soma-clonal Variation in Date Palm and Banana for Early Identification and Control of Off-types Generation. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7592124.bard.

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Date palm (Phoenix dactylifera L.) is the major fruit tree grown in arid areas in the Middle East and North Africa. In the last century, dates were introduced to new regions including the USA. Date palms are traditionally propagated through offshoots. Expansion of modern date palm groves led to the development of Tissue Culture propagation methods that generate a large number of homogenous plants, have no seasonal effect on plant source and provide tools to fight the expansion of date pests and diseases. The disadvantage of this procedure is the occurrence of off-type trees which differ from t

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Applebaum, Shalom W., Lawrence I. Gilbert, and Daniel Segal. Biochemical and Molecular Analysis of Juvenile Hormone Synthesis and its Regulation in the Mediterranean Fruit Fly (Ceratitis capitata). United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7570564.bard.

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Original Objectives and revisions: (1) "To determine the biosynthetic pathway of JHB3 in the adult C. capitata CA in order to establish parameters for the future choice and synthesis of suitable inhibitors". Modified: to determine the pattern of FR-7 biosynthesis during normal reproductive maturation, and identify enzymes potentially involved in its synthesis. (2) "To correlate allatal epoxidase activity to the biosynthesis of JHB3 at different stages of reproductive maturation/vitellogenesis and evaluate the hypothesis that a specific JH-epoxidase may be rate limiting". Modified: to study the

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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This syst

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Searles, D. B. Foundations for a syntatic pattern recognition system for genomic DNA sequences. [Annual] report, 1 December 1991--31 March 1993. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10132898.

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Gafni, Yedidya, and Vitaly Citovsky. Molecular interactions of TYLCV capsid protein during assembly of viral particles. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7587233.bard.

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Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. The present proposal, a continuation of a BARD-funded project, expanded our understanding of the molecular mechanisms by which CP molecules, as well as its pre-coat partner V2, interact with each other (CP), with the viral genome, and with cellular proteins during assembly and movement of the infectious virions. Specifically, two major objectives were proposed: I. To study in detail the molecular interactions between CP molecules and between CP and ssDN

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Harman, Gary E., and Ilan Chet. Enhancement of plant disease resistance and productivity through use of root symbiotic fungi. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695588.bard.

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The objectives of the project were to (a) compare effects ofT22 and T-203 on growth promotion and induced resistance of maize inbred line Mol7; (b) follow induced resistance of pathogenesis-related proteins through changes in gene expression with a root and foliar pathogen in the presence or absence of T22 or T-203 and (c) to follow changes in the proteome of Mol? over time in roots and leaves in the presence or absence of T22 or T-203. The research built changes in our concepts regarding the effects of Trichoderma on plants; we hypothesized that there would be major changes in the physiology

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