Academic literature on the topic 'Sequences'

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Journal articles on the topic "Sequences"

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He, Tian-Xiao. "A-sequences, Z-sequence, and B-sequences of Riordan matrices." Discrete Mathematics 343, no. 3 (March 2020): 111718. http://dx.doi.org/10.1016/j.disc.2019.111718.

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Leng, Rhodri, Gil Viry, Miguel García-Sancho, James Lowe, Mark Wong, and Niki Vermeulen. "The Sequences and the Sequencers." Historical Studies in the Natural Sciences 52, no. 3 (June 1, 2022): 277–319. http://dx.doi.org/10.1525/hsns.2022.52.3.277.

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This special issue on sequences and sequencers uses new analytical approaches to re-assess the history of genomics. Historical attention has largely focused on a few central characters and institutions: those that participated in the Human Genome Project (HGP), especially its final stages. Our analysis—based on an assessment of almost 13.5 million DNA sequence submissions and 30,000 publications of human, yeast, and pig DNA sequences—followed overlapping chronologies starting before and finishing after the concerted efforts to sequence the genomes of each species: 1980 to 2000 in yeast, 1985 to 2005 for the human, and 1990 to 2015 for the pig. Our main conclusion is that when broader sequencing practices—especially those addressed to nonhuman species—are taken into account, the large-scale center model that characterized the organization of the HGP falls short in representing genomics as a whole. Instead of taking the HGP as a model, we describe an iterative process in which the practices of sequence submission and publication were entangled. Analysis of co-authorship networks between institutions derived from our data shows how linked sequence submission and publication were to medical, biochemical, and agricultural research. Our analysis thus reveals the utility of big data and mixed-methods approaches for addressing science as a multidimensional endeavor with a history shaped by co-constitutive, synchronic interactions among different elements—such as communities, species, and disciplines—as much as diachronic trajectories over time. This perspective enables us to better capture interdisciplinary and interspecies work, and offers a more fluid portrayal of the connections between scientific practices and agricultural, industrial, and medical goals. This essay is part of a special issue entitled The Sequences and the Sequencers: A New Approach to Investigating the Emergence of Yeast, Human, and Pig Genomics, edited by Michael García-Sancho and James Lowe.
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Sanger, Frederick. "Sequences, Sequences, and Sequences." Annual Review of Biochemistry 57, no. 1 (June 1988): 1–29. http://dx.doi.org/10.1146/annurev.bi.57.070188.000245.

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He, Ping-an, and Jun Wang. "Characteristic Sequences for DNA Primary Sequence." Journal of Chemical Information and Computer Sciences 42, no. 5 (September 2002): 1080–85. http://dx.doi.org/10.1021/ci010131z.

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Enkosky, Thomas, and Branden Stone. "A sequence defined by M-sequences." Discrete Mathematics 333 (October 2014): 35–38. http://dx.doi.org/10.1016/j.disc.2014.06.007.

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Velhagen, William A. "Analyzing Developmental Sequences Using Sequence Units." Systematic Biology 46, no. 1 (March 1, 1997): 204–10. http://dx.doi.org/10.1093/sysbio/46.1.204.

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Tatum, Zuotian, Marco Roos, Andrew P. Gibson, Peter EM Taschner, Mark Thompson, Erik A. Schultes, and Jeroen FJ Laros. "Preserving sequence annotations across reference sequences." Journal of Biomedical Semantics 5, Suppl 1 (2014): S6. http://dx.doi.org/10.1186/2041-1480-5-s1-s6.

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Tsai, Lu, Liaofu Luo, and Zhirong Sun. "Sequence-Dependent Flexibility in Promoter Sequences." Journal of Biomolecular Structure and Dynamics 20, no. 1 (August 2002): 127–34. http://dx.doi.org/10.1080/07391102.2002.10506828.

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Hanage, William P., Christophe Fraser, and Brian G. Spratt. "Sequences, sequence clusters and bacterial species." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1475 (October 6, 2006): 1917–27. http://dx.doi.org/10.1098/rstb.2006.1917.

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Whatever else they should share, strains of bacteria assigned to the same species should have house-keeping genes that are similar in sequence. Single gene sequences (or rRNA gene sequences) have very few informative sites to resolve the strains of closely related species, and relationships among similar species may be confounded by interspecies recombination. A more promising approach (multilocus sequence analysis, MLSA) is to concatenate the sequences of multiple house-keeping loci and to observe the patterns of clustering among large populations of strains of closely related named bacterial species. Recent studies have shown that large populations can be resolved into non-overlapping sequence clusters that agree well with species assigned by the standard microbiological methods. The use of clustering patterns to inform the division of closely related populations into species has many advantages for poorly studied bacteria (or to re-evaluate well-studied species), as it provides a way of recognizing natural discontinuities in the distribution of similar genotypes. Clustering patterns can be used by expert groups as the basis of a pragmatic approach to assigning species, taking into account whatever additional data are available (e.g. similarities in ecology, phenotype and gene content). The development of large MLSA Internet databases provides the ability to assign new strains to previously defined species clusters and an electronic taxonomy. The advantages and problems in using sequence clusters as the basis of species assignments are discussed.
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Burzyk, Jósef. "On $K$-sequences." Czechoslovak Mathematical Journal 43, no. 1 (1993): 1–6. http://dx.doi.org/10.21136/cmj.1993.128383.

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Dissertations / Theses on the topic "Sequences"

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Cai, Zheng. "Repetitive sequence analysis for soybean genome sequences." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4249.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.
"May 2005" The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Includes bibliographical references.
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Parsons, Jeremy David. "Computer analysis of molecular sequences." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282922.

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Kimothi, Dhananjay. "Learning representations for molecular sequences." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/226106/1/Dhananjay_Kimothi_Thesis.pdf.

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This thesis explores the utility of representation learning for bioinformatics applications. It proposes approaches for generating low dimensional embeddings for molecular sequences, which proved effective for downstream bioinformatics tasks such as protein classification and protein-protein interaction prediction. One specific theme of this thesis is to develop a scalable and computationally effective solution for large scale sequence comparisons and two successful approaches – one based on a hierarchy of models, the other on a hybrid of two methods – are presented. The representation learning approaches proposed in this thesis are generic and can be adapted for similar problems within bioinformatics and other domains.
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VITTE, PATRICK. "Plus longue sous-sequence commune et analyse de sequences biologiques." Aix-Marseille 2, 1996. http://www.theses.fr/1996AIX22073.

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Cette these est consacree a l'etude des plus longues sous-sequences communes (lcs) a un ensemble de chaines de caracteres et a leur usage dans l'analyse des sequences biologiques. En deux mots, une sous-sequence commune a plusieurs chaines est une suite de caracteres, pas necessairement consecutifs, que l'on trouve dans le meme ordre dans chaque chaine. Les lcs nous interesse selon deux points de vue: algorithmique: peut-on determiner, approximer et encadrer leur longueur ? comment construire une lcs ? peut-on les enumerer ? ces questions sont classiques en optimisation combinatoire et nous avons developpe une methode de construction d'une lcs. Le probleme etant np-difficile, nous avons defini une methode approchee, de complexite polynomiale, dont nous avons etudie les performances. Biologique: nous montrons certaines applications des lcs dans l'analyse des sequences biologiques. D'abord en definissant une distance qui permet de retrouver des sequences voisines et de classer un nouvel element dans un arbre de sequences. Puis en proposant une methode d'alignement multiple d'une famille de sequences proteiques
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Pray, Keith A. "Apriori Sets And Sequences: Mining Association Rules from Time Sequence Attributes." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0506104-150831/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.
Keywords: mining complex data; temporal association rules; computer system performance; stock market analysis; sleep disorder data. Includes bibliographical references (p. 79-85).
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Faulkner, Sean (Sean Anthony) Carleton University Dissertation Engineering Electrical. "Composite sequences for rapid acquisition of direct-sequence spread spectrum signals." Ottawa, 1992.

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Seth, Pawan. "STUDY OF THE RELATIONSHIP BETWEEN Mus musculus PROTEIN SEQUENCES AND THEIR BIOLOGICAL FUNCTIONS." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1176736255.

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Lui, Man-Cheung Max. "Generation and evaluation of mechanical assembly sequences using the liaison-sequence method." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14544.

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Garriga, Nogales Edgar 1990. "New algorithmic contributions for large scale multiple sequence alignments of protein sequences." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2022. http://hdl.handle.net/10803/673526.

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In these days of significant changes and the rapid evolution of technology, the amount of datascience has to deal with the growth incredibly fast, and the size of data could be prohibitive.Multiple Sequence Alignments (MSA) are used in various areas of biology, and the increase ofdata has produced a degradation of the methods. That is why is proposed a new solution toperform the MSA. This novel paradigm allows the alignment of millions of sequences and theability to modularize the process. Regressive enables the parallelization of the process and thecombination of clustering methods (guide-tree) with whatever aligner is desired. On theclustering side, the guide-tree has to be rethought. A study of the current state of the methodsand their strength and weaknesses have been performed to shed some light on the topic. Theguide-tree cannot be the bottleneck, and it should provide a good starting point for the aligners.
En aquests dies de profunds canvis i una ràpida evolució de la tecnologia, la quantitat de dataque la ciència ha de treballar ha crescut increïblement ràpid i la grandària dels arxius ha crescutde manera quasi prohibitiva.Els alineaments múltiples de seqüència (MSA) es fan servir endiverses àrees de la biologia, i l'increment de les dades ha produït una degradació delsresultats. És per això, que es proposa una nova estratègia per realitzar els alineaments. Aquestnou paradigma permet alinear milions de seqüències i l'opcio de modularitzar el procés.'Regressive' permet la paral·lelització del procés i la combinació de diferents algoritmesd'agrupacio (guide-tree) amb el mètode de alineament que és desitgi. Dins del camp del'agrupació, s'ha de repensar l'estratègia per crear els guide-tree. Un estudi sobre l'estat actualdels mètodes i les seves virtuts i punts febles ha sigut realitzar per llençar una mica de llum enaquesta àrea. Els 'guide-tree' no poden ser el coll de botella, i haurien de servir per començarde la millor manera possible el procés d'alineament.
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Winebarger, Onnie Lynn. "k-Interpolated sequences." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3229597.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2006.
"Title from dissertation home page (viewed July 11, 2007)." Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4466. Adviser: Daniel P. Maki.
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Books on the topic "Sequences"

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Capocelli, Renato M., ed. Sequences. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7.

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Heiligers, Olivier. Sequences. Eindhoven]: Lecturis, 2020.

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Norris, Leslie. Sequences. Layton, Utah: Peregrine Smith Books, 1988.

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Adam. Sequences. Paris: Peeters, 2013.

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Edward, James. Sequences. Taunton: Lime Avenue Education, 2000.

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Billal, Masum, and Samin Riasat. Integer Sequences. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0570-3.

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Capocelli, Renato, Alfredo De Santis, and Ugo Vaccaro, eds. Sequences II. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-9323-8.

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Schmitt, Norbert, ed. Formulaic Sequences. Amsterdam: John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/lllt.9.

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Andrica, Dorin, and Ovidiu Bagdasar. Recurrent Sequences. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51502-7.

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1957-, Everest Graham, ed. Recurrence sequences. Providence, R.I: American Mathematical Society, 2003.

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Book chapters on the topic "Sequences"

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Amir, Amihood, and Gad M. Landau. "Fast Parallel and Serial Multidimensional Approximate Array Matching." In Sequences, 3–24. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_1.

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Chor, Benny, and Mihály Geréb-Graus. "On the influence of single participant in coin flipping schemes." In Sequences, 138–43. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_10.

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Cohen, G., J. Körner, and G. Simonyi. "Zero-error capacities and very different sequences." In Sequences, 144–55. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_11.

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Cummings, L. J. "Sequences of Lyndon Words." In Sequences, 156–65. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_12.

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Elia, M., and F. Neri. "A Note on Addition Chains and some Related Conjectures." In Sequences, 166–81. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_13.

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Erdös, P. "Some Applications of Probability Methods to Number Theory. Successes and Limitations." In Sequences, 182–94. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_14.

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Etzion, Tuvi. "On Pseudo-Random Arrays Constructed from Patterns with distinct Differences." In Sequences, 195–207. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_15.

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Etzion, Tuvi. "Combinatorial Designs Derived from Costas Arrays." In Sequences, 208–27. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_16.

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Hashiguchi, Kosaburo. "Algorithms for determining relative star height and star height." In Sequences, 228–43. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_17.

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Head, Tom, and Barbara Lando. "Eigenwords and Periodic Behaviors." In Sequences, 244–53. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3352-7_18.

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Conference papers on the topic "Sequences"

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Andrieux, A., M. H. Charon, G. Hudry-Clergeon, and G. Marguerie. "FIBRINOGEN SEQUENCES INTERACTING WITH PLATELET GPIIbIIIa." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643519.

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Fibrinogen (Fg), fibronectin (Fn) and von Willebrand factor (vWF), interact with GPIIbllla on AD? stimulated platelets, and a common mechanism has been postulated for the binding of these adhesive proteins. Fg, Fn and vWF contain the tripeptide Arg-Gly-Asp and synthetic analogues to this sequence inhibit their interaction with platelet and their concomitant adhesive reactions. On the other hand, sequences corresponding to the Fg γ chain inhibit the binding of Fg, Fn and vWF to platelet and may also represent a potential recognition site. This raises the possibility that the γ chain sequence and Arg-Gly-Asp interact with the same site or represent primary and secondary sites for the Fg molecule. Within this context, the capacity of these sequences to interact with GPIIbllla and to block fibrinogen binding were compared. The smallest γ chain sequence that was active in inhibiting this reaction was the hexamer Lys-Gln-Ala-Gly-Asp-Val corresponding to the last six amino acid residues at the C-terminus of the γ chain. In parallel, peptides with the structure Arg-Gly-Asp-X were synthesized and tested in vitro. The activity of these peptides was dependent upon the hydrophobicity of the amino acid residue at position X. Arg-GLy-Asp-Phe corresponding to the sequence at position 95-98 in the Fg Aα chain was 5 to 10 times more active than Arg-GLy-Asp-Ser, present at position 572-575 in the Aα chain, and was 10 to 20 times more active than the γ chain hexamer. Both the Aα chain and γ chain sequences however, inhibited Fg binding by greater than 90%. When the γ chain sequence and the Arg-Gly-Asp-X sequence were coupled to Sepharose, GPIIbIIIa interacted with these sequences and was eluted from each column by either of the peptides. Finally direct binding experiments indicated that Arg-Gly-Asp-X and γ chain sequences are competitive antagonists. These results suggest that both sequences interact with the same site on GPIIbIIIa and comparison of the hydrophilicity of these peptides suggests that the binding domain on GPIIbIIIa exhibits hydrophobic properties.
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Bhattacharjya, Debarun, Saurabh Sihag, Oktie Hassanzadeh, and Liza Bialik. "Summary Markov Models for Event Sequences." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/670.

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Datasets involving sequences of different types of events without meaningful time stamps are prevalent in many applications, for instance when extracted from textual corpora. We propose a family of models for such event sequences -- summary Markov models -- where the probability of observing an event type depends only on a summary of historical occurrences of its influencing set of event types. This Markov model family is motivated by Granger causal models for time series, with the important distinction that only one event can occur in a position in an event sequence. We show that a unique minimal influencing set exists for any set of event types of interest and choice of summary function, formulate two novel models from the general family that represent specific sequence dynamics, and propose a greedy search algorithm for learning them from event sequence data. We conduct an experimental investigation comparing the proposed models with relevant baselines, and illustrate their knowledge acquisition and discovery capabilities through case studies involving sequences from text.
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Huber, P., J. Dalmon, M. Laurent, G. Courtois, D. Thevenon, and G. Marguerie. "CHARACTERIZATION OFTHE 5’FLANKING REGION FOR THE HUMAN FIBRINOGEN β GENE." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1642889.

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Fibrinogen is coded by three separate genes located in a 50kb region of chromosome 4 and organized in a α - β - γ orientation with an inversion of the gene 3- A human genomic library was constructed using the EMBL4 phage and screened with cDNA probes coding for human fibrinogen Aα, Bβ and γ chains. Clones, covering the fibrinogen locus,were identified, and their organization was analyzed by means of hybridization and restriction mapping. Among these clones one recombinant phage containing the β gene and large 5’ and 3’ -flanking sequences was isolated.To identify the regulatory sequences Dpstream from the human β gene, a 1.5 kb fragment of the immediate 5’-flanking region was sequenced. The SI mapping experiments revealed three transcription initiation sites. PotentialTATA and CAAT sequences were identified upstream the initiation start points at the positions -21 and -58 from the first initiation start point.Comparison of this sequence with that previously reported for the same region upstream from the human γ gene revealed no significant homology which suggests that the potential promoting sequences of these genes are different. In contrast, comparison of the 5’flanking regions of human and rat β genes showed more than 80% homology for 142 bp upstream from the gene. This highly conserved region is a potential candidate for a regulatory sequence of the human β gene.To verify this activity, a β fibrinogen minigene was constructed by deletion of the internal part of the normal gene and including 3.4kb of the 5’flanking region and 1.4kb of the 3’flanking region. The minigene was transfected into HepG2, a human hepatoma cell line, to show whether the 5’flanking region of the human fibrinogen gene contains DNA sequences sufficient for efficient transcription in HepG2. Constructions of several parts of the sequenced 5’flanking region of the human β gene with the gene of the chloramphenical acetyl transferase have been also transfected in the HepG2 cells to determine the specificity of the gene expression and to localize the sequences controlling the transcription of the gene.
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Bonin, Francesca, Carl Vogel, and Nick Campbell. "Social sequence analysis: temporal sequences in interactional conversations." In 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2014. http://dx.doi.org/10.1109/coginfocom.2014.7020488.

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Kang, Tae Ho, Jae Soo Yoo, and Hak Yong Kim. "Mining Frequent Contiguous Sequence Patterns in Biological Sequences." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375640.

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Yona, Golan, and Michael Levitt. "A unified sequence-structure classification of protein sequences." In the fourth annual international conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/332306.332569.

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Hierons, Robert M., Guy-Vincent Jourdan, Hasan Ural, and Husnu Yenigun. "Using adaptive distinguishing sequences in checking sequence constructions." In the 2008 ACM symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1363686.1363850.

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"ANNOTATING UniProt METAGENOMIC AND ENVIRONMENTAL SEQUENCES IN UniMES." In Metagenomic Sequence Data Analysis. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003350803670368.

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Edgington, T. S., J. H. Morrissey, and H. Fakhrai. "MOLECULAR CLONING OF HUMAN TISSUE FACTOR cDNA." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643740.

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Tissue factor (TF), the cell-surface receptor and allo-steric activator for factor Vll/VIIa, is important in hemostasis andinflammation. The TF apoprotein was purifiedfrom human brain using factor Vll-affinitychromatography and SDS gel electrophoresis,and was found to consist of a 47 kDa heavy chain plus a 12.5 kDa light chain. Approximately one-third of the heavy chain amino acid sequence was determined for four regions by microsequencing the intact protein and peptides derived from V8-protease digestion. A λgtll cDNA library, made from mRNA derived from the human fibroblastic cell line WI38,was screened with (a) affinity-purified rabbit antibodies to human tissue factor, and (b) a 45-mer oligonucleotide probe based on TF heavy chain amino acid sequence. Five overlapping cDNA clones were identifiedand sequenced which confirmed all four partial TF amino acid sequences. Together these clones span the entire heavy chain coding sequence as well as 5" and 3" nontranslated regions. The N-terminusof the TF heavy chain is preceded by an unusually long signal peptide which appears to be cleaved at alternative sites two amino acids apart. This results in two variants of TF heavy chains which differ slightly in length and amino-terminal sequence.The deduced protein sequence shows no major homology to known protein sequences. However,a relatively uncommon tripeptide sequence, Trp-Lys-Ser (WKS), appears three times in the TF heavy chain. This tripeptidesequence also occurs in HMW kininogen, factor VIII,von Willebrand"s factor andant ithrombin-III. Limited sequence similarity is observed in flanking sequences,andthis may indicate a possible functional domain for the recognition of members ofthe vitamin K-dependent serine protease famil.Supported by NIH grants HL-16411 andCA-41085.
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"Index of authors." In Proceedings Compression and Complexity of SEQUENCES 1997. IEEE, 1997. http://dx.doi.org/10.1109/sequen.1997.666934.

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Reports on the topic "Sequences"

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Gillies, S. GeoJSON Text Sequences. RFC Editor, April 2017. http://dx.doi.org/10.17487/rfc8142.

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Stearns, S. D. Authentication of byte sequences. Office of Scientific and Technical Information (OSTI), June 1991. http://dx.doi.org/10.2172/5217104.

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Kuipers, Jack. Quaternions and Rotation Sequences. GIQ, 2012. http://dx.doi.org/10.7546/giq-1-2000-127-143.

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Torney, D. C., W. Bruno, and V. Detours. Nonlinear analysis of biological sequences. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674921.

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Butler, R., T. Butler, I. Foster, N. Karonis, R. Olson, R. Overbeek, N. Pfluger, M. Price, and S. Tuecke. Generating alignments of genetic sequences. Office of Scientific and Technical Information (OSTI), June 1989. http://dx.doi.org/10.2172/6081785.

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Orchard, Michael, and Robert Joyce. Content Analysis of Video Sequences. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada414069.

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FLORIDA STATE UNIV TALLAHASSEE. Scrambled Sobol Sequences via Permutation. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada510216.

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Gardner, Kathleen. 7th International Workshop on the Identification of Transcribed Sequences. Beyond the Identification of Transcribed Sequences. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/765456.

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Landolt, Arlo. Faint Photoelectric Photometric Standard Star Sequences. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada201999.

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Homem de Mello, L. S., and A. C. Sanderson. Automatic Generation of Mechanical Assembly Sequences. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada204234.

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