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1

Joseph, Arokiya Louis Monica. "Sequence Similarity Search portal." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3124.

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This project brings the bioinformatics community a new development concept in which users can access all data and applications hosted in the main research centers as if they were installed on their local machines, providing seamless integration between disparate services. The project moves to integrate the sequence similarity searching at EBI and NCBI by using web services. It also intends to allow molecular biologists to save their searches and act as a log book for their sequence similarity searches. The project will also allow the biologists to share their sequences and results with others.
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2

Chen, Zhuo. "Smart Sequence Similarity Search (S⁴) system." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2458.

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Sequence similarity searching is commonly used to help clarify the biochemical and physiological features of newly discovered genes or proteins. An efficient similarity search relies on the choice of tools and their associated subprograms and numerous parameter settings. To assist researchers in selecting optimal programs and parameter settings for efficient sequence similarity searches, the web-based expert system, Smart Sequence Similarity Search (S4) was developed.
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3

Mendoza, Leon Jesus Alexis. "Analysis of DNA sequence similarity within organisms causing New World leishmaniasis." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386206.

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4

Batra, Sushil Baker Erich J. Lee Myeongwoo. "Identification of phenotypes in Caenorabhditis elegans on the basis of sequence similarity." Waco, Tex. : Baylor University, 2009. http://hdl.handle.net/2104/5325.

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5

Ozturk, Ozgur. "Feature extraction and similarity-based analysis for proteome and genome databases." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1190138805.

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6

Mitas̃iūnaite, Ieva. "Mining string data under similarity and soft-frequency constraints : application to promoter sequence analysis." Lyon, INSA, 2009. http://theses.insa-lyon.fr/publication/2009ISAL0036/these.pdf.

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Nous étudions l'extraction de motifs sous contraintes dans des collections de chaînes de caractères et le développement de solveurs complets et génériques pour l'extraction de tous les motifs satisfaisant une combinaison de contraintes primitives. Un solveur comme FAVST permet d'optimiser des conjonctions de contraintes dites monotones et/ou anti-monotones (e. G. , des contraintes de fréquence maximale et minimale). Nous avons voulu compléter ce type d'outil en traitant des contraintes pour la découverte de motifs tolérants aux exceptions. Nous proposons différentes définitions des occurrences
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7

Sacan, Ahmet. "Similarity Search And Analysis Of Protein Sequences And Structures: A Residue Contacts Based Approach." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609754/index.pdf.

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The advent of high-throughput sequencing and structure determination techniques has had a tremendous impact on our quest in cracking the language of life. The genomic and protein data is now being accumulated at a phenomenal rate, with the motivation of deriving insights into the function, mechanism, and evolution of the biomolecules, through analysis of their similarities, differences, and interactions. The rapid increase in the size of the biomolecular databases, however, calls for development of new computational methods for sensitive and efficient management and analysis of this informatio
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8

Wessel, Jennifer. "Human genetic-epidemiologic association analysis via allelic composition and DNA sequence similarity methods applications to blood-based gene expression biomarkers of disease /." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3237548.

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Thesis (Ph. D.)--University of California, San Diego and San Diego State University, 2006.<br>Title from first page of PDF file (viewed December 12, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
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9

Wang, Danling. "Multifractal characterisation and analysis of complex networks." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48176/1/Danling_Wang_Thesis.pdf.

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Complex networks have been studied extensively due to their relevance to many real-world systems such as the world-wide web, the internet, biological and social systems. During the past two decades, studies of such networks in different fields have produced many significant results concerning their structures, topological properties, and dynamics. Three well-known properties of complex networks are scale-free degree distribution, small-world effect and self-similarity. The search for additional meaningful properties and the relationships among these properties is an active area of current rese
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10

Yan, Yiqing. "Scalable and accurate algorithms for computational genomics and dna-based digital storage." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS078.

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La réduction des coûts et l'amélioration du débit de la technologie de séquençage ont entraîné de nouvelles avancées dans des applications telles que la médecine de précision et le stockage basé sur l'ADN. Cependant, le résultat séquencé contient des erreurs. Pour mesurer la similitude entre le résultat séquencé et la référence, la distance d'édition est préférée en pratique à la distance de Hamming en raison des indels. Le calcul de la distance d'édition est complexe quadratique. Par conséquent, l'analyse de similarité de séquence nécessite beaucoup de calculs. Dans cette thèse, nous introdui
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11

Alm, Kylie H. "Hippocampal Representations of Targeted Memory Reactivation and Reactivated Temporal Sequences." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/422606.

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Psychology<br>Ph.D.<br>Why are some memories easy to retrieve, while others are more difficult to access? Here, we tested whether we could bias memory replay, a process whereby newly learned information is reinforced by reinstating the neuronal patterns of activation that were present during learning, towards particular memory traces. The goal of this biasing is to strengthen some memory traces, making them more easily retrieved. To test this, participants were scanned during interleaved periods of encoding and rest. Throughout the encoding runs, participants learned triplets of images that we
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12

Lan, Yang. "Computational Approaches for Time Series Analysis and Prediction. Data-Driven Methods for Pseudo-Periodical Sequences." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4317.

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Time series data mining is one branch of data mining. Time series analysis and prediction have always played an important role in human activities and natural sciences. A Pseudo-Periodical time series has a complex structure, with fluctuations and frequencies of the times series changing over time. Currently, Pseudo-Periodicity of time series brings new properties and challenges to time series analysis and prediction. This thesis proposes two original computational approaches for time series analysis and prediction: Moving Average of nth-order Difference (MANoD) and Series Features Extraction
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13

Wiedemann, Tiago. "SIMCOP: Um Framework para Análise de Similaridade em Sequências de Contextos." Universidade do Vale do Rio dos Sinos, 2014. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4755.

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Submitted by Fabricia Fialho Reginato (fabriciar) on 2015-08-26T23:54:22Z No. of bitstreams: 1 TiagoWiedemann.pdf: 5635533 bytes, checksum: c0d3805abbcaf56aa36da4d8422457b6 (MD5)<br>Made available in DSpace on 2015-08-26T23:54:22Z (GMT). No. of bitstreams: 1 TiagoWiedemann.pdf: 5635533 bytes, checksum: c0d3805abbcaf56aa36da4d8422457b6 (MD5) Previous issue date: 2014<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>CNPQ – Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>A Computação Ubíqua, que estuda formas de integrar a tecnologia ao cotidiano da
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14

Sendrowski, Janek. "Feigenbaum Scaling." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96635.

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In this thesis I hope to provide a clear and concise introduction to Feigenbaum scaling accessible to undergraduate students. This is accompanied by a description of how to obtain numerical results by various means. A more intricate approach drawing from renormalization theory as well as a short consideration of some of the topological properties will also be presented. I was furthermore trying to put great emphasis on diagrams throughout the text to make the contents more comprehensible and intuitive.
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15

"Similarity searching in sequence databases under time warping." 2004. http://library.cuhk.edu.hk/record=b5892155.

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Wong, Siu Fung.<br>Thesis submitted in: December 2003.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.<br>Includes bibliographical references (leaves 77-84).<br>Abstracts in English and Chinese.<br>Abstract --- p.ii<br>Acknowledgement --- p.vi<br>Chapter 1 --- Introduction --- p.1<br>Chapter 2 --- Preliminary --- p.6<br>Chapter 2.1 --- Dynamic Time Warping (DTW) --- p.6<br>Chapter 2.2 --- Spatial Indexing --- p.10<br>Chapter 2.3 --- Relevance Feedback --- p.11<br>Chapter 3 --- Literature Review --- p.13<br>Chapter 3.1 --- Searching Sequences under Euclidean Metric --- p.13
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16

Zhu, Haohan. "Sequence queries on temporal graphs." Thesis, 2016. https://hdl.handle.net/2144/17056.

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Graphs that evolve over time are called temporal graphs. They can be used to describe and represent real-world networks, including transportation networks, social networks, and communication networks, with higher fidelity and accuracy. However, research is still limited on how to manage large scale temporal graphs and execute queries over these graphs efficiently and effectively. This thesis investigates the problems of temporal graph data management related to node and edge sequence queries. In temporal graphs, nodes and edges can evolve over time. Therefore, sequence queries on nodes and e
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17

Ahmed, Hazem Radwan A. "Multi-Regional Analysis of Contact Maps for Protein Structure Prediction." Thesis, 2009. http://hdl.handle.net/1974/1789.

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1D protein sequences, 2D contact maps and 3D structures are three different representational levels of detail for proteins. Predicting protein 3D structures from their 1D sequences remains one of the complex challenges of bioinformatics. The "Divide and Conquer" principle is applied in our research to handle this challenge, by dividing it into two separate yet dependent subproblems, using a Case-Based Reasoning (CBR) approach. Firstly, 2D contact maps are predicted from their 1D protein sequences; secondly, 3D protein structures are then predicted from their predicted 2D contact maps. We focus
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18

Chen, Feng. "Similarity analysis of video sequences using an artificial neural network." 2003. http://purl.galileo.usg.edu/uga%5Fetd/chen%5Ffeng%5F200305%5Fms.

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