Literatura académica sobre el tema "Sequence analysis methods"
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Artículos de revistas sobre el tema "Sequence analysis methods"
Smith, CA. "Methods in Protein Sequence Analysis". Biochemical Education 18, n.º 1 (enero de 1990): 54–55. http://dx.doi.org/10.1016/0307-4412(90)90036-n.
Texto completoSeabrook, BN. "Methods in protein sequence analysis". Biochemical Education 22, n.º 1 (enero de 1994): 59. http://dx.doi.org/10.1016/0307-4412(94)90193-7.
Texto completoLight, Albert. "Methods of protein sequence analysis". Analytical Biochemistry 167, n.º 1 (noviembre de 1987): 210. http://dx.doi.org/10.1016/0003-2697(87)90153-9.
Texto completoRybinska, Anna. "Social Sequence Analysis: Methods and Applications". Social Forces 96, n.º 1 (4 de abril de 2017): e6-e6. http://dx.doi.org/10.1093/sf/sox026.
Texto completoAisenbrey, Silke. "Social Sequence Analysis: Methods and Applications". Contemporary Sociology: A Journal of Reviews 46, n.º 6 (27 de octubre de 2017): 665–67. http://dx.doi.org/10.1177/0094306117734868i.
Texto completoKuhn, Alfred. "Methods in protein sequence analysis 1986". Journal of Chromatography A 410 (enero de 1987): 514. http://dx.doi.org/10.1016/s0021-9673(00)90090-6.
Texto completoBailey, Jerome M. "Chemical methods of protein sequence analysis". Journal of Chromatography A 705, n.º 1 (junio de 1995): 47–65. http://dx.doi.org/10.1016/0021-9673(94)01250-i.
Texto completoWilson, Clarke. "Analysis of Travel Behavior Using Sequence Alignment Methods". Transportation Research Record: Journal of the Transportation Research Board 1645, n.º 1 (enero de 1998): 52–59. http://dx.doi.org/10.3141/1645-07.
Texto completoZeltser, Maria. "Bounded Domains of Generalized Riesz Methods with the Hahn Property". Journal of Function Spaces and Applications 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/908682.
Texto completoSteinke, Dirk, Miguel Vences, Walter Salzburger y Axel Meyer. "TaxI: a software tool for DNA barcoding using distance methods". Philosophical Transactions of the Royal Society B: Biological Sciences 360, n.º 1462 (8 de septiembre de 2005): 1975–80. http://dx.doi.org/10.1098/rstb.2005.1729.
Texto completoTesis sobre el tema "Sequence analysis methods"
Park, Jong Hwa. "Genome sequence analysis and methods". Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627329.
Texto completoIsgro, Francesco. "Geometric methods for video sequence analysis and applications". Thesis, Heriot-Watt University, 2001. http://hdl.handle.net/10399/495.
Texto completoVerzotto, Davide. "Advanced Computational Methods for Massive Biological Sequence Analysis". Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3426282.
Texto completoCon l'avvento delle moderne tecnologie di sequenziamento, massive quantità di dati biologici, da sequenze proteiche fino a interi genomi, sono disponibili per la ricerca. Questo progresso richiede l'analisi e la classificazione automatica di tali collezioni di dati, al fine di migliorare la conoscenza nel campo delle Scienze della Vita. Nonostante finora siano stati proposti molti approcci per modellare matematicamente le sequenze biologiche, ad esempio cercando pattern e similarità tra sequenze genomiche o proteiche, questi metodi spesso mancano di strutture in grado di indirizzare specifiche questioni biologiche. In questa tesi, presentiamo nuovi metodi computazionali per tre problemi fondamentali della biologia molecolare: la scoperta di relazioni evolutive remote tra sequenze proteiche, l'individuazione di segnali biologici complessi in siti funzionali tra loro correlati, e la ricostruzione della filogenesi di un insieme di organismi, attraverso la comparazione di interi genomi. Il principale contributo è dato dall'analisi sistematica dei pattern che possono interessare questi problemi, portando alla progettazione di nuovi strumenti computazionali efficaci ed efficienti. Vengono introdotti così due paradigmi avanzati per la scoperta e il filtraggio di pattern, basati sull'osservazione che i motivi biologici funzionali, o pattern, sono localizzati in differenti regioni delle sequenze in esame. Questa osservazione consente di realizzare approcci parsimoniosi in grado di evitare un conteggio multiplo degli stessi pattern. Il primo paradigma considerato, ovvero irredundant common motifs, riguarda la scoperta di pattern comuni a coppie di sequenze che hanno occorrenze non coperte da altri pattern, la cui copertura è definita da una maggiore specificità e/o possibile estensione dei pattern. Il secondo paradigma, ovvero underlying motifs, riguarda il filtraggio di pattern che hanno occorrenze non sovrapposte a quelle di altri pattern con maggiore priorità, dove la priorità è definita da proprietà lessicografiche dei pattern al confine tra pattern matching e analisi statistica. Sono stati sviluppati tre metodi computazionali basati su questi paradigmi avanzati. I risultati sperimentali indicano che i nostri metodi sono in grado di identificare le principali similitudini tra sequenze biologiche, utilizzando l'informazione presente in maniera non ridondante. In particolare, impiegando gli irredundant common motifs e le statistiche basate su questi pattern risolviamo il problema della rilevazione di omologie remote tra proteine. I risultati evidenziano che il nostro approccio, chiamato Irredundant Class, ottiene ottime prestazioni su un benchmark impegnativo, e migliora i metodi allo stato dell'arte. Inoltre, per individuare segnali biologici complessi utilizziamo la nozione di underlying motifs, definendo così alcune modalità per il confronto e il filtraggio di motivi degenerati ottenuti tramite moderni strumenti di pattern discovery. Esperimenti su grandi famiglie proteiche dimostrano che il nostro metodo riduce drasticamente il numero di motivi che gli scienziati dovrebbero altrimenti ispezionare manualmente, mettendo in luce inoltre i motivi funzionali identificati in letteratura. Infine, combinando i due paradigmi proposti presentiamo una nuova e pratica funzione di distanza tra interi genomi. Con il nostro metodo, chiamato Unic Subword Approach, relazioniamo tra loro le diverse regioni di due sequenze genomiche, selezionando i motivi conservati durante l'evoluzione. I risultati sperimentali evidenziano che il nostro approccio offre migliori prestazioni rispetto ad altri metodi allo stato dell'arte nella ricostruzione della filogenesi di organismi quali virus, procarioti ed eucarioti unicellulari, identificando inoltre le sottoclassi principali di queste specie.
Oppermann, Madalina. "Chemical and mass spectrometrical methods in protein analysis /". Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4542-x/.
Texto completoLovmar, Lovisa. "Methods for Analysis of Disease Associated Genomic Sequence Variation". Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4525.
Texto completoReinhardt, Astrid. "Neural network-based methods for large scale protein sequence analysis". Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624141.
Texto completoHenderson, Daniel Adrian. "Modelling and analysis of non-coding DNA sequence data". Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299427.
Texto completoTanaka, Emi. "Statistical Methods for Improving Motif Evaluation". Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/13922.
Texto completoChen, Zhuo. "Smart Sequence Similarity Search (S⁴) system". CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2458.
Texto completoHolder, Mark Travis. "Using a complex model of sequence evolution to evaluate and improve phylogenetic methods". Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3037500.
Texto completoLibros sobre el tema "Sequence analysis methods"
1941-, Procter Michael, Abell Peter 1939- y Surrey Conference on Methods and Theory of Sociological Investigation (2nd : 1983 : University of Surrey), eds. Sequence analysis. Aldershot, England: Gower, 1985.
Buscar texto completoImahori, Kazutomo y Fumio Sakiyama, eds. Methods in Protein Sequence Analysis. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1603-7.
Texto completoWittmann-Liebold, Brigitte, ed. Methods in Protein Sequence Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73834-0.
Texto completoJörnvall, Hans, Jan-Olov Höög y Ann-Margreth Gustavsson, eds. Methods in Protein Sequence Analysis. Basel: Birkhäuser Basel, 1991. http://dx.doi.org/10.1007/978-3-0348-5678-2.
Texto completoHans, Jörnvall, Höög J. -O, Gustavsson A. -M y International Conference on Methods in Protein Sequence Analysis (8th : 1990 : Kiruna, Sweden), eds. Methods in protein sequence analysis. Basel: Birkhäuser Verlag, 1991.
Buscar texto completoKazutomo, Imahori, Sakiyama Fumio y International Conference on Methods in Protein Sequence Analysis (9th : 1992 : Otsu, Japan), eds. Methods in protein sequence analysis. New York: Plenum Press, 1993.
Buscar texto completoWalsh, Kenneth A., ed. Methods in Protein Sequence Analysis · 1986. Totowa, NJ: Humana Press, 1987. http://dx.doi.org/10.1007/978-1-59259-480-1.
Texto completo1931-, Wittmann-Liebold B., Salnikow J. 1938- y Erdmann V. A. 1941-, eds. Advanced methods in protein microsequence analysis. Berlin: Springer-Verlag, 1986.
Buscar texto completoG, Gindikin S., ed. Mathematical methods of analysis of biopolymer sequences. Providence, R.I: American Mathematical Society, 1992.
Buscar texto completoR, Swindell Simon, ed. Sequence data analysis guidebook. Totowa, N.J: Humana Press, 1997.
Buscar texto completoCapítulos de libros sobre el tema "Sequence analysis methods"
Lange, Kenneth. "Sequence Analysis". En Mathematical and Statistical Methods for Genetic Analysis, 281–97. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21750-5_13.
Texto completoKarsch-Mizrachi, Ilene y B. F. Francis Ouellette. "The GenBank Sequence". En Methods of Biochemical Analysis, 45–63. New York, USA: John Wiley & Sons, Inc., 2002. http://dx.doi.org/10.1002/0471223921.ch3.
Texto completoKrech, Volkhard y Martin Radermacher. "Sequence Analysis". En The Routledge Handbook of Research Methods in the Study of Religion, 445–60. 2a ed. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003222491-31.
Texto completoKoonin, Eugene V. y Michael Y. Galperin. "Principles and Methods of Sequence Analysis". En Sequence — Evolution — Function, 111–92. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3783-7_5.
Texto completoPattini, Linda y Sergio Cerutti. "Biomolecular Sequence Analysis". En Advanced Methods of Biomedical Signal Processing, 489–507. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118007747.ch20.
Texto completoButler, Barbara A. "Sequence Analysis Using GCG". En Methods of Biochemical Analysis, 74–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470110607.ch4.
Texto completoWolfsberg, Tyra G. y David Landsman. "Expressed Sequence Tags (ESTs)". En Methods of Biochemical Analysis, 283–301. New York, USA: John Wiley & Sons, Inc., 2002. http://dx.doi.org/10.1002/0471223921.ch12.
Texto completoOuellette, B. F. Francis. "The GenBank Sequence Database". En Methods of Biochemical Analysis, 16–45. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470110607.ch2.
Texto completoYap, Tieng K., Ophir Frieder y Robert L. Martino. "Sequence Analysis Algorithms". En High Performance Computational Methods for Biological Sequence Analysis, 51–97. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1391-5_3.
Texto completoInglis, Adam S., Robert L. Moritz, Geoffrey S. Begg, Gavin E. Reid, Richard J. Simpson, Horst Graffunder, Lothar Matschull y Brigitte Wittmann-Liebold. "C-Terminal Sequence Analysis". En Methods in Protein Sequence Analysis, 23–34. Basel: Birkhäuser Basel, 1991. http://dx.doi.org/10.1007/978-3-0348-5678-2_2.
Texto completoActas de conferencias sobre el tema "Sequence analysis methods"
Luo, Liaofu, Jun Lu, Theodore E. Simos y George Maroulis. "Sequence Pattern Recognition in Genome Analysis". En 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.
Texto completoSong, Hyun-Je y Seong-Bae Park. "Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model". En Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1150.
Texto completoBellani, Manas, Julien Epps y Gavin A. Huttley. "A comparison of periodicity profile methods for sequence analysis". En 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2012. http://dx.doi.org/10.1109/gensips.2012.6507731.
Texto completo"cswHMM: A NOVEL CONTEXT SWITCHING HIDDEN MARKOV MODEL FOR BIOLOGICAL SEQUENCE ANALYSIS". En International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003780902080213.
Texto completoCamilleri, Duncan, Brian Ellul y Martin Muscat. "Design-by-Analysis Methods for Asymmetric or Unbalanced Cylindrical Composite Pressure Vessels". En ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28130.
Texto completo"APPLYING CONCEPTUAL MODELING TO ALIGNMENT TOOLS ONE STEP TOWARDS THE AUTOMATION OF DNA SEQUENCE ANALYSIS". En International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003142001370142.
Texto completoOrlov, Yurii Nikolaevich. "Language recognition methods and Voynich Manuscript analysis". En 4th International Conference “Futurity designing. Digital reality problems”. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/future-2021-20.
Texto completoStanescu, Ana, Karthik Tangirala y Doina Caragea. "Study of transductive learning and unsupervised feature construction methods for biological sequence classification". En 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2016. http://dx.doi.org/10.1109/asonam.2016.7752363.
Texto completoCescatti, Elvis, Michol Rampado, Veronica Follador, Francesca da Porto y Claudio Modena. "ANALYTICAL AND NUMERICAL ANALYSIS OF S. MARTINO’S DEI GUALDESI CHURCH DAMAGED DURING THE 2016 CENTRAL ITALY SEISMIC SEQUENCE". En 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens, 2021. http://dx.doi.org/10.7712/120121.8490.19179.
Texto completoSun, Dabin, Zhijian Zhang, Lei Li, He Wang, Sijuan Chen, Yuhang Zhang y Lixuan Zhang. "Security Analysis Based on Probabilistic Safety Analysis Coupled With Deterministic Safety Analysis Used RAVEN". En 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-64361.
Texto completoInformes sobre el tema "Sequence analysis methods"
Payne, Jr., A., S. Eide, J. LaChance y D. Whitehead. Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Volume 4, Initiating events and accident sequence delineation. Office of Scientific and Technical Information (OSTI), octubre de 1992. http://dx.doi.org/10.2172/10191712.
Texto completoPayne, Jr., A., S. Daniel, D. Whitehead, T. Sype, S. Dingman y C. Shaffer. Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Volume 3, Part 2, Internal events accident sequence quantification: Appendices. Office of Scientific and Technical Information (OSTI), agosto de 1992. http://dx.doi.org/10.2172/10174542.
Texto completoLippolis, Nicolas. Diagnostics for Industrialisation: Growth, Sectoral Selection, and Constraints on Firms. Digital Pathways at Oxford, marzo de 2022. http://dx.doi.org/10.35489/bsg-dp-wp_2022/03.
Texto completoGelb, Jr., Jack, Yoram Weisman, Brian Ladman y Rosie Meir. Identification of Avian Infectious Brochitis Virus Variant Serotypes and Subtypes by PCR Product Cycle Sequencing for the Rational Selection of Effective Vaccines. United States Department of Agriculture, diciembre de 2003. http://dx.doi.org/10.32747/2003.7586470.bard.
Texto completoHedrick, Ronald y Herve Bercovier. Characterization and Control of KHV, A New Herpes Viral Pathogen of Koi and Common Carp. United States Department of Agriculture, enero de 2004. http://dx.doi.org/10.32747/2004.7695871.bard.
Texto completoBerube, Paul M., Scott M. Gifford, Bonnie Hurwitz, Bethany Jenkins, Adrian Marchetti y Alyson E. Santoro. Roadmap Towards Communitywide Intercalibration and Standardization of Ocean Nucleic Acids ‘Omics Measurements. Woods Hole Oceanographic Institution, marzo de 2022. http://dx.doi.org/10.1575/1912/28054.
Texto completoCohen, Yuval, Christopher A. Cullis y 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, octubre de 2010. http://dx.doi.org/10.32747/2010.7592124.bard.
Texto completoBarefoot, Susan F., Bonita A. Glatz, Nathan Gollop y Thomas A. Hughes. Bacteriocin Markers for Propionibacteria Gene Transfer Systems. United States Department of Agriculture, junio de 2000. http://dx.doi.org/10.32747/2000.7573993.bard.
Texto completoLevisohn, Sharon, Maricarmen Garcia, David Yogev y Stanley Kleven. Targeted Molecular Typing of Pathogenic Avian Mycoplasmas. United States Department of Agriculture, enero de 2006. http://dx.doi.org/10.32747/2006.7695853.bard.
Texto completoWeller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu y George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, enero de 2015. http://dx.doi.org/10.32747/2015.7600017.bard.
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