Academic literature on the topic 'Search and recombination'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Search and recombination.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Search and recombination"
Inbar, Ori, and Martin Kupiec. "Homology Search and Choice of Homologous Partner during Mitotic Recombination." Molecular and Cellular Biology 19, no. 6 (June 1, 1999): 4134–42. http://dx.doi.org/10.1128/mcb.19.6.4134.
Full textElf, Johan. "Hypothesis: Homologous Recombination Depends on Parallel Search." Cell Systems 3, no. 4 (October 2016): 325–27. http://dx.doi.org/10.1016/j.cels.2016.10.005.
Full textYou, Xuemei, Yinghong Ma, Zhiyuan Liu, and Mingzhao Xie. "An ABC Algorithm with Recombination." International Journal of Computers Communications & Control 13, no. 4 (July 25, 2018): 590–601. http://dx.doi.org/10.15837/ijccc.2018.4.3275.
Full textRenkawitz, Jörg, Claudio A. Lademann, and Stefan Jentsch. "Mechanisms and principles of homology search during recombination." Nature Reviews Molecular Cell Biology 15, no. 6 (May 14, 2014): 369–83. http://dx.doi.org/10.1038/nrm3805.
Full textMesseni Petruzzelli, Antonio, and Tommaso Savino. "Search, Recombination, and Innovation: Lessons from Haute Cuisine." Long Range Planning 47, no. 4 (August 2014): 224–38. http://dx.doi.org/10.1016/j.lrp.2012.09.001.
Full textMiné-Hattab, Judith, and Rodney Rothstein. "Increased chromosome mobility facilitates homology search during recombination." Nature Cell Biology 14, no. 5 (April 8, 2012): 510–17. http://dx.doi.org/10.1038/ncb2472.
Full textDrugan, Mădălina M., and Dirk Thierens. "Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs." Evolutionary Computation 18, no. 2 (June 2010): 157–98. http://dx.doi.org/10.1162/evco.2010.18.2.18201.
Full textEllis, S. C., and J. Bland-Hawthorn. "THE SEARCH FOR CELESTIAL POSITRONIUM VIA THE RECOMBINATION SPECTRUM." Astrophysical Journal 707, no. 1 (November 23, 2009): 457–71. http://dx.doi.org/10.1088/0004-637x/707/1/457.
Full textDEL RÍO, MANUEL BELTRÁN, CHRISTOPHER R. STEPHENS, and DAVID A. ROSENBLUETH. "FITNESS LANDSCAPE EPISTASIS AND RECOMBINATION." Advances in Complex Systems 18, no. 07n08 (November 2015): 1550026. http://dx.doi.org/10.1142/s0219525915500265.
Full textAlejska, M. "A universal BMV-based RNA recombination system--how to search for general rules in RNA recombination." Nucleic Acids Research 33, no. 12 (July 1, 2005): e105-e105. http://dx.doi.org/10.1093/nar/gni106.
Full textDissertations / Theses on the topic "Search and recombination"
Browne, Cameron Bolitho. "Automatic generation and evaluation of recombination games." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17025/1/Cameron_Browne_Thesis.pdf.
Full textBrowne, Cameron Bolitho. "Automatic generation and evaluation of recombination games." Queensland University of Technology, 2008. http://eprints.qut.edu.au/17025/.
Full textAnstett, Benjamin [Verfasser], and Peter [Akademischer Betreuer] Becker. "Homology search guidance by the yeast recombination enhancer / Benjamin Anstett ; Betreuer: Peter Becker." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1132995329/34.
Full textLönneborg, Rosa. "In search of a biosensor for DNT detection : Studies of inducer response and specificity of DntR." Doctoral thesis, Stockholms universitet, Institutionen för biokemi och biofysik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-64129.
Full textSyftet med denna avhandling har varit att förbättra förmågan hos proteinet DntR att upptäcka DNT. Det långsiktiga målet har varit att använda DntR i en biosensor för att upptäcka sprängämnet TNT, som avger DNT som en ”signaturmolekyl”. En annan aspekt har varit att bättre förstå den detaljerade mekanismen för hur DntR fungerar. DntR är ett protein som binder till en viss DNA sekvens (promotor) och reglerar hur gener intill denna promotorsekvens läses av. När en inducerande molekyl som t.ex. DNT binder till DntR förändras proteinets struktur på ett sådant sätt att DntR kan aktivera transkription av de gener som finns intill promotor-sekvensen. För att mäta hur DntR reagerar på olika inducerande molekyler har DntR uttryckts i bakterien Escherichia coli, som också innehållit promotorn som DntR binder till. Intill promotorn sitter en gen som kodar för proteinet GFP. När en inducerande molekyl binder till DntR, slås avläses gfp-genen, och det fluorescerande proteinet GFP produceras. Ju mer GFP som produceras i cellerna, desto högre fluorescens kan uppmätas när cellerna analyseras. I de artiklar som presenteras i avhandlingen har vi undersökt hur olika substitutioner i DntR proteinet påverkar specificiten och sensitiviteten och hur dessa egenskaper kan påverkas av olika experimentella faktorer. Effekten av substitutioner har relaterats till strukturdata, där bilder av hur proteinet ser ut på molekylär nivå har tagits fram. Dessutom presenteras även en bild av hur DntR förändras beroende på om inducerande molekyler är bundna eller inte. En sådan strukturbild ökar förståelsen för de mekanismer som gör att bindning av en inducerande molekyl orsakar en förändring av formen hos DntR på så sätt att avläsning av gener kan aktiveras. Vi har också använt en metod där evolutionära processer härmats för att få fram varianter av DntR med förbättrad respons till DNT. En variant med en drastisk ökning av DNT-responsen har isolerats, och dess egenskaper har karaktäriserats.
At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 3: Manuscript
Flamm, Christoph, Ivo L. Hofacker, Bärbel M. R. Stadler, and Peter F. Stadler. "Saddles and Barrier in Landscapes of Generalized Search Operators." 2007. https://ul.qucosa.de/id/qucosa%3A32606.
Full textBook chapters on the topic "Search and recombination"
Zäpfel, Günther, Roland Braune, and Michael Bögl. "Metaheuristics Based on Solution Recombination." In Metaheuristic Search Concepts, 121–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11343-7_7.
Full textCrampton, David. "The Search for High Redshift Quasars." In The Post-Recombination Universe, 19–31. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3035-3_2.
Full textWhitley, Darrell. "Exploiting Decomposability Using Recombination in Genetic Algorithms: An Exploratory Discussion." In Search Based Software Engineering, 5–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23716-4_2.
Full textMühlenbein, H., and T. Mahnig. "Evolutionary Algorithms: From Recombination to Search Distributions." In Natural Computing Series, 135–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04448-3_7.
Full textYu, Yang, Chao Qian, and Zhi-Hua Zhou. "Towards Analyzing Recombination Operators in Evolutionary Search." In Parallel Problem Solving from Nature, PPSN XI, 144–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15844-5_15.
Full textFriedrich, Tobias, Timo Kötzing, Martin S. Krejca, and Andrew M. Sutton. "The Benefit of Recombination in Noisy Evolutionary Search." In Algorithms and Computation, 140–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48971-0_13.
Full textDozier, Gerry, Hurley Cunningham, Winard Britt, and Funing Zhang. "Distributed Constraint Satisfaction, Restricted Recombination, and Hybrid Genetic Search." In Genetic and Evolutionary Computation – GECCO 2004, 1078–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24854-5_106.
Full textCotta, Carlos, and José M. Troya. "Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search." In Parallel Problem Solving from Nature PPSN VI, 325–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45356-3_32.
Full textCandresse, Thierry, Frédéric Revers, Olivier Le Gall, Sandra A. Kofalvi, José Marcos, and Vicente Pallás. "Systematic Search for Recombination Events in plant Viruses and Viroids." In Virus-Resistant Transgenic Plants: Potential Ecological Impact, 20–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03506-1_2.
Full textGarcía, Marcos Diez, and Alberto Moraglio. "A Unifying View on Recombination Spaces and Abstract Convex Evolutionary Search." In Evolutionary Computation in Combinatorial Optimization, 179–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16711-0_12.
Full textConference papers on the topic "Search and recombination"
Friedrich, Tobias, Timo Kötzing, Martin S. Krejca, and Andrew M. Sutton. "The Benefit of Recombination in Noisy Evolutionary Search." In GECCO '16: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2908961.2930953.
Full textGissler, Armand, Anne Auger, and Nikolaus Hansen. "Learning rate adaptation by line search in evolution strategies with recombination." In GECCO '22: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3512290.3528760.
Full textXie, Yu, Qinglong Wang, Jian Ding, Fangfang Meng, Shanhong Li, and Chunxia Zhao. "Enhancing the search ability of differential evolutionary through partial intermediate recombination." In 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2017. http://dx.doi.org/10.1109/yac.2017.7967598.
Full textChicano, Francisco, Darrell Whitley, Gabriela Ochoa, and Renato Tinós. "Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search." In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3071178.3071285.
Full textAbdelbar, Ashraf M., and Khalid M. Salama. "Solution recombination in an indicator-based many-objective ant colony optimizer for continuous search spaces." In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. http://dx.doi.org/10.1109/ssci.2017.8280806.
Full textWatchareeruetai, Ukrit, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, and Noboru Ohnishi. "Improving search performance of linear genetic programming based image recognition program synthesis by redundancy-removed recombination." In 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia). IEEE, 2008. http://dx.doi.org/10.1109/smcia.2008.5045996.
Full textAydın, Kemal Bartu, Levent Aydin, and Fethullah Güneş. "Stochastic Optimization of TiO2-Graphene Nanocomposite by Using Neuro-Regression Approach for Maximum Photocatalytic Degradation Rate." In International Students Science Congress. Izmir International Guest Student Association, 2021. http://dx.doi.org/10.52460/issc.2021.044.
Full textReports on the topic "Search and recombination"
Pawlowski, Wojtek P., and Avraham A. Levy. What shapes the crossover landscape in maize and wheat and how can we modify it. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600025.bard.
Full textWilson, Thomas E., Avraham A. Levy, and Tzvi Tzfira. Controlling Early Stages of DNA Repair for Gene-targeting Enhancement in Plants. United States Department of Agriculture, March 2012. http://dx.doi.org/10.32747/2012.7697124.bard.
Full text