Academic literature on the topic 'Delbruck'

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Journal articles on the topic "Delbruck"

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Glass, Bentley. "Delbruck's Mind From MatterMind From Matter? An Essay on Evolutionary Epistemology.Max Delbruck." Quarterly Review of Biology 62, no. 1 (1987): 49–50. http://dx.doi.org/10.1086/415267.

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Milstein, A. I., and R. Z. Shaisultanov. "High-energy Delbruck scattering at large angles." Journal of Physics A: Mathematical and General 21, no. 13 (1988): 2941–52. http://dx.doi.org/10.1088/0305-4470/21/13/017.

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Kessler, D. A., and H. Levine. "Large population solution of the stochastic Luria-Delbruck evolution model." Proceedings of the National Academy of Sciences 110, no. 29 (2013): 11682–87. http://dx.doi.org/10.1073/pnas.1309667110.

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Kitchen, Martin, and Arden Bucholz. "Hans Delbruck and the German Military Establishment: War Images in Conflict." American Historical Review 91, no. 1 (1986): 135. http://dx.doi.org/10.2307/1867307.

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Komarova, Natalia L., Lin Wu, and Pierre Baldi. "The fixed-size Luria–Delbruck model with a nonzero death rate." Mathematical Biosciences 210, no. 1 (2007): 253–90. http://dx.doi.org/10.1016/j.mbs.2007.04.007.

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de la Iglesia, F., F. Martinez, J. Hillung, et al. "Luria-Delbruck Estimation of Turnip Mosaic Virus Mutation Rate In Vivo." Journal of Virology 86, no. 6 (2012): 3386–88. http://dx.doi.org/10.1128/jvi.06909-11.

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Herwig, Holger H., and Arden Bucholz. "Hans Delbruck & The German Military Establishment: War Images in Conflict." German Studies Review 10, no. 1 (1987): 180. http://dx.doi.org/10.2307/1430477.

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Ropp, Theodore, and Arden Bucholz. "Hans Delbruck & The German Military Establishment: War Images in Conflict." Military Affairs 50, no. 1 (1986): 57. http://dx.doi.org/10.2307/1988559.

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Bachl, J., M. Dessing, C. Olsson, R. C. von Borstel, and C. Steinberg. "An experimental solution for the Luria-Delbruck fluctuation problem in measuring hypermutation rates." Proceedings of the National Academy of Sciences 96, no. 12 (1999): 6847–49. http://dx.doi.org/10.1073/pnas.96.12.6847.

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Daniels, D. R., and M. S. Turner. "Diffusion on Membrane Tubes: A Highly Discriminatory Test of the Saffman−Delbruck Theory." Langmuir 23, no. 12 (2007): 6667–70. http://dx.doi.org/10.1021/la0635000.

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Dissertations / Theses on the topic "Delbruck"

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Jones, Andrew Loren. "Debating Cannae: Delbrück, Schlieffen, and the Great War." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2387.

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Debating Cannae: Delbrück, Schlieffen, and the Great War provides the reader a view of the historical struggle between Alfred von Schlieffen and Hans Delbrück. They argued fiercely about the foundation of the German Empire and the use of history. The first chapter provides the context of the foundation of the German empire. The second chapter explores the debates between Schlieffen and Delbrück by investigating their writings. The third chapter surveys the effect that the Delbrück and Schlieffen culture war had upon the First World War. This work expands the current view of Schlieffen by demonstrating his commitment to his interpretation of history. The reader will gain an appreciation for the impact of the historical struggle between these two historians. Delbrück believed that nationalism needed to be controlled through objectivity and a contextual understanding; in contrast, Schlieffen believed that nationalism needed to direct one’s historical research as well as one’s life.
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Lüdtke, Christian [Verfasser]. "Hans Delbrück und Weimar : Für eine konservative Republik – gegen Kriegsschuldlüge und Dolchstoßlegende / Christian Lüdtke." Göttingen : Vandenhoeck & Ruprecht, 2018. http://www.v-r.de/.

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Mazoyer, Adrien. "Modèles de mutation : étude probabiliste et estimation paramétrique." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM032/document.

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Les modèles de mutations décrivent le processus d’apparitions rares et aléatoires de mutations au cours de lacroissance d’une population de cellules. Les échantillons obtenus sont constitués de nombres finaux de cellules mutantes,qui peuvent être couplés avec des nombres totaux de cellules ou un nombre moyen de cellules en fin d’expérience.La loi du nombre final de mutantes est une loi à queue lourde : de grands décomptes, appelés “jackpots”,apparaissent fréquemment dans les données.Une construction générale des modèles se décompose en troisniveaux. Le premier niveau est l’apparition de mutations aléatoires au cours d’un processus de croissance de population.En pratique, les divisions cellulaires sont très nombreuses, et la probabilité qu’une de ces divisions conduise à une mutation est faible,ce qui justifie une approximation poissonnienne pour le nombre de mutations survenant pendant un temps d’observation donné.Le second niveau est celui des durées de développement des clones issus de cellules mutantes. Du fait de la croissance exponentielle,la majeure partie des mutations ont lieu à la fin du processus, et les durées de développement sont alors indépendanteset exponentiellement distribuées. Le troisième niveau concerne le nombre decellules qu’un clone issu d’une cellule mutante atteint pendant une durée de développement donnée.La loi de ce nombre dépend principalement de la loi des instants de division des mutantes.Le modèle classique, dit de Luria-Delbrück, suppose que les développements cellulaires des cellules normales aussi bien que mutantess’effectue selon un processus de Yule. On peut dans ce cas calculer expliciter la loi du nombre final de mutantes.Elle dépend de deux paramètres, qui sont le nombre moyen de mutations et le paramètre de fitness (ratio des taux de croissance des deux types de cellules).Le problème statistique consiste à estimer ces deux paramètres au vu d’un échantillon denombres finaux de mutantes. Il peut être résolu par maximisation de la vraisemblance,ou bien par une méthode basée sur la fonction génératrice. Diviser l'estimation du nombre moyen de mutations par le nombre total de cellulespermet alors d'estimer la probabilité d’apparition d’une mutation au cours d’une division cellulaire.L’estimation de cette probabilité est d’une importancecruciale dans plusieurs domaines de la médecine et debiologie: rechute de cancer, résistance aux antibiotiques de Mycobacterium Tuberculosis, etc.La difficulté provient de ce que les hypothèses de modélisation sous lesquelles la distribution du nombre final de mutants est explicitesont irréalistes.Or estimer les paramètres d’un modèle quand la réalité en suit un autre conduit nécessairement à un biais d’estimation.Il est donc nécessaire de disposer de méthodes d’estimation robustes pour lesquelles le biais, en particulier sur la probabilité de mutation,reste le moins sensible possible aux hypothèses de modélisation.Cette thèse contient une étude probabiliste et statistique de modèles de mutations prenant en compte les sources de biais suivantes : durées de vie non exponentielles, morts cellulaires,variabilité du nombre final de cellules, durées de vie non-exponentielles et non-identiquement distribuées, dilution de la population initiale.Des études par simulation des méthodes considérées sont effectuées afin de proposer, selon les caractéristiques du modèle,l’estimation la plus fiable possible. Ces méthodes ont également été appliquées à desjeux de données réelles, afin de comparer les résultats avec les estimations obtenues avec les modèles classiques.Un package R a été implémenté en collaboration avec Rémy Drouilhet et Stéphane Despréaux et est disponible sur le CRAN.Ce package est constitué des différents résultats obtenus au cours de ce travail. Il contient des fonctions dédiées aux modèles de mutations,ainsi qu'à l'estimation des paramètres. Les applications ont été développées pour le Labex TOUCAN (Toulouse Cancer)<br>Mutation models are probabilistic descriptions of the growth of a population of cells, where mutationsoccur randomly during the process. Data are samples of integers, interpreted as final numbers ofmutant cells. These numbers may be coupled with final numbers of cells (mutant and non mutant) or a mean final number of cells.The frequent appearance in the data of very large mutant counts, usually called “jackpots”, evidencesheavy-tailed probability distributions.Any mutation model can be interpreted as the result of three ingredients. The first ingredient is about the number of mutations occuring with small probabilityamong a large number of cell divisions. Due to the law of small numbers, the number of mutations approximately follows aPoisson distribution. The second ingredient models the developing duration of the clone stemming from each mutation. Due to exponentialgrowth, most mutations occur close to the end of the experiment. Thus the developing time of arandom clone has exponential distribution. The last ingredients represents the number of mutant cells that any clone developing for a given time will produce. Thedistribution of this number depends mainly on the distribution of division times of mutants.One of the most used mutation model is the Luria-Delbrück model.In these model, division times of mutant cells were supposed to be exponentially distributed.Thus a clone develops according to a Yule process and its size at any given time follows a geometric distribution.This approach leads to a family of probability distributions which depend on the expected number of mutations and the relative fitness, which is the ratio between the growth rate of normal cells to that of mutants.The statistic purpose of these models is the estimation of these parameters. The probability for amutant cell to appear upon any given cell division is estimated dividing the mean number of mutations by the mean final number of cells.Given samples of final mutant counts, it is possible to build estimators maximizing the likelihood, or usingprobability generating function.Computing robust estimates is of crucial importance in medical applications, like cancer tumor relapse or multidrug resistance of Mycobacterium Tuberculosis for instance.The problem with classical mutation models, is that they are based on quite unrealistic assumptions: constant final number of cells,no cell deaths, exponential distribution of lifetimes, or time homogeneity. Using a model for estimation, when thedata have been generated by another one, necessarily induces a bias on estimates.Several sources of bias has been partially dealed until now: non-exponential lifetimes, cell deaths, fluctuations of the final count of cells,dependence of the lifetimes, plating efficiency. The time homogeneity remains untreated.This thesis contains probabilistic and statistic study of mutation models taking into account the following bias sources:non-exponential and non-identical lifetimes, cell deaths, fluctuations of the final count of cells, plating efficiency.Simulation studies has been performed in order to propose robust estimation methods, whatever the modeling assumptions.The methods have also been applied to real data sets, to compare the results with the estimates obtained under classical models.An R package based on the different results obtained in this work has been implemented (joint work with Rémy Drouilhetand Stéphane Despréaux) and is available on the CRAN. It includes functions dedicated to the mutation models and parameter estimation.The applications have been developed for the Labex TOUCAN (Toulouse Cancer)
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Delbrück, Maximilian von Verfasser], Thomas [Gutachter] [Sommer, Udo [Gutachter] Heinemann, and Andreas [Gutachter] Herrmann. "Die Funktion der ubiquitinbindenden CUE-Domäne von Cue1 bei der Synthese von Ubiquitinketten / Maximilian von Delbrück. Gutachter: Thomas Sommer ; Udo Heinemann ; Andreas Herrmann." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/1102992844/34.

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Delbrück, Maximilian von [Verfasser], Thomas [Gutachter] Sommer, Udo [Gutachter] Heinemann, and Andreas [Gutachter] Herrmann. "Die Funktion der ubiquitinbindenden CUE-Domäne von Cue1 bei der Synthese von Ubiquitinketten / Maximilian von Delbrück. Gutachter: Thomas Sommer ; Udo Heinemann ; Andreas Herrmann." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/1102992844/34.

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Nicholson, Michael David. "Applications of branching processes to cancer evolution and initiation." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33034.

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There is a growing appreciation for the insight mathematical models can yield on biological systems. In particular, due to the challenges inherent in experimental observation of disease progression, models describing the genesis, growth and evolution of cancer have been developed. Many of these models possess the common feature that one particular type of cellular population initiates a further, distinct population. This thesis explores two models containing this feature, which also employ branching processes to describe population growth. Firstly, we consider a deterministically growing wild type population which seeds stochastically developing mutant clones. This generalises the classic Luria- Delbruck model of bacterial evolution. We focus on how differing wild type growth manifests itself in the distribution of clone sizes. In our main result we prove that for a large class of wild type growth, the long-time limit of the clone size distribution has a general two-parameter form, whose tail decays as a power-law. In the second model, we consider a fully stochastic system of cells in a growing population that can undergo birth, death and transitions. New cellular types appear via transitions, examples of which are genetic mutations or migrations bringing cells into a new environment. We concentrate on the scenario where the original cell type has the largest net growth rate, which is relevant for modelling drug resistance, due to fitness costs of resistance, or cells migrating into contact with a toxin. Two questions are considered in our main results. First, how long do we wait until a cell with a specific target type, an arbitrary number of transitions from the original population, exists. Second, which particular sequence of transitions initiated the target population. In the limit of small final transition rates, simple, explicit formulas are given to answer these questions.
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Mawoussi, Kodjo. "Effet de l'encombrement des protéines sur la diffusion des lipides et des protéines membranaires." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066541/document.

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La diffusion latérale des lipides et des protéines transmembranaires est essentielle pour les fonctions biologiques. Dans le contexte cellulaire, la fraction surfacique des protéines membranaires est élevée, atteignant environ de 50 à 70% selon le type de membrane. La diffusion se fait donc dans un milieu très encombré. Le but de ce travail est d'étudier in vitro l'effet de l'encombrement des protéines sur la diffusion des protéines et des lipides. Jusqu'à présent, les mesures de diffusion latérale ont généralement été réalisées à faible densité de protéines, et l'effet de l'encombrement des inclusions membranaires ou des protéines membranaires a été peu étudié expérimentalement. Nous avons utilisé une méthode de suivi de particules uniques (SPT) pour suivre les trajectoires de la pompe à protons Bactériorhodopsine (BR) et de lipides marqués avec des quantum dots au bas de vésicules unilamellaires géantes (GUVs) en fonction de la fraction de surface totale (Ф) de BR reconstituée dans la membrane constituée par ailleurs de 1,2-Dioleoyl-sn-glycéro-3-phosphocholine (DOPC)<br>Lateral diffusion of lipids and transmembrane proteins is essential for biological functions. In the cellular context, the surface fraction of membrane proteins is high, reaching approximately 50 to 70% depending on the membrane type. Therefore, diffusion occurs in a very crowded environment. The aim of this work is to study in vitro the effect of protein crowding on their own diffusion and on those of the surrounding lipids. So far, lateral diffusion measurements generally have been carried out at low protein density, and the effect of proteins crowding has not been much studied experimentally. We used a single particle tracking (SPT) method to track the trajectories of the Bacterorhodopsin (BR) proton pump and of lipids labeled with quantum dots at the bottom of giant unilamellar vesicles (GUVs) as a function of the total surface fraction (Ф) of BR reconstituted in 1,2-Dioleoyl-sn-glycero-3-phosphocholine (DOPC) membrane
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Mouric, Joël. "Raymond Aron et l'Europe 1926-1983 : la République des Lettres et le mythe politique." Brest, 2010. http://books.openedition.org/pur/137058.

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De 1926 1983, l'idée européenne a préoccupé Raymond Aron. D'abord pacifiste, il constate dès 1931 qu'elle n'est qu'une idée d'intellectuels. Pendant la guerre, exilé à Londres, il exalte le combat héroïque des nations européennes contre l'Europe hitlérienne. De 1943 à 1955, c'est le moment européen. Aron souhaite que les nations européennes vivent ensemble sans renoncer à leur légitimité historique. Il redoute par ailleurs la menace soviétique. D'où son double engagement, gaulliste et atlantique. Il ne partageait pas la vision de Jean Monnet, et vit dans l'échec de la CED la mort du mythe politique européen. Après 1955, l'analyse du conflit Est-Ouest l'amène à l'idée que, pour penser l'Europe, il faut penser la guerre. Clausewitz lui donne le moyen de cette tâche intellectuelle et civique. L'arme atomique permettait de sortir des guerres en chaîne ; l'Europe, provisoirement divisée, pourrait vivre libre, audelà de la politique de puissance, dans le cadre historique des nations<br>From 1926 to 1983, the European idea has been foremost in Raymond Aron's thought. Once a pacifist, Aron turned to realism as early as 1931, and wrote the European idea was an idea of intellectuals. A wartime exile in London, he praised the heroic fight of the European nations against Hitler's Europe. The years from 1943 to 1955 were a tuming point. Aron wished the European nations to live peacefully together, yet without abdicating their historical legitimacy. Besides, he feared the Soviet threat. Hence his double commitment to gaullism and atlanticism. He did not share Jean Monnet's vision, and considered the failure of the EDC the death of the European political myth. After 1955, analyzing the Est-West conflict led him to the conclusion that thinking Europe mplies thinking war, a both intellectual and political task, with insight into Clausewitz. The Abomh enabled the escape from the century of total war. Europe, though provisionally divided, would survive in freedom, beyond power politics, within the historical framework of nations
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Delbrück, Heinrich [Verfasser]. "Thermostabilität und funktionelle Vielfalt ubiquitärer Proteinfaltungsdomänen / vorgelegt von Heinrich Delbrück." 2002. http://d-nb.info/966395786/34.

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Paton, Jennifer Lynn. "The Delbrook neighbourhood zoning process: a case study of collaborative public involvement." Thesis, 1998. http://hdl.handle.net/2429/7748.

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Public involvement in planning processes is increasingly expected and demanded by members of the local community and it is also a key method that the planner can use to gain insight into a community. The challenge which professional planners face is in finding effective methods for involving the public in complicated and technical decisions which planners have traditionally made in isolation. Specifically, technical zoning law can be overwhelmingly complicated for members of the public. Today's planners are challenged with establishing processes which are inclusive and which generate consensus-based solutions. This thesis examines the use of collaborative planning to address the issue of compatible single-family infill housing. Specifically, this thesis addresses three questions: what are the elements of a collaborative public involvement process which can assist in creating a new single-family infill-zoning category; what are the limitations of using collaborative public involvement processes in neighbourhood re-zonings; and how does the Delbrook case study exemplify the use and implications of collaborative public involvement? These questions are examined via two avenues: a literature review focusing on public involvement, collaboration and monster house infill construction; and a case study analysis examining the Delbrook neighbourhood zoning project. The major findings of this thesis define evaluation criteria, emerging from the literature that can be applied to analyzing collaborative public involvement processes and also extract key lessons learned from the Delbrook case study. Significant conclusions of this thesis are that the public expects inclusive processes; the public is capable of rising to technical zoning challenges; it is important that the levels and opportunities for involvement are appropriate to the planning process; it is important to identify and periodically re-visit the roles of those involved in public involvement processes; and a clear and attainable goal must be set for collaborative public involvement processes. The Delbrook case study further illustrates that issues which inspire a great degree of controversy and which are complex in nature will require a more collaborative public involvement framework; the time spent on collaborative processes can cause the public to burn out; consensus building among those involved must always consider the larger community; and that collaborative processes are dynamic. In conclusion, it is noted that more research should be conducted on how the increasing empowerment of groups may or may not affect the power of the individual, the impact which the process chosen may have on the product or results; the extent to which limitations exist for lay persons involvement in technical planning subjects; and an exploration of other practical applications for dealing with large house infill construction.
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Books on the topic "Delbruck"

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Weltinnenrecht: Liber amicorum Jost Delbrück. Duncker & Humblot, 2005.

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Forschungsamt, Germany Militärgeschichtliches, ed. Deutsche Militärhistoriker von Hans Delbrück bis Andreas Hillgruber. Militärgeschichtliches Forschungsamt, 2010.

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Bucholz, Arden. Hans Delbrück & the German military establishment: War images in conflict. University of Iowa Press, 1985.

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Hans Delbrück & the German military establishment: War images in conflict. University of Iowa Press, 1985.

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Fischer, Ernst Peter. Thinking about science: Max Delbrück and the origins of molecular biology. Norton, 1988.

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Licht und Leben: Ein Bericht über Max Delbrück, den Wegbereiter der Molekularbiologie. Universitätsverlag, 1985.

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Lange, Sven. Hans Delbrück und der "Strategiestreit": Kriegführung und Kriegsgeschichte in der Kontroverse 1879-1914. Rombach, 1995.

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Gustav, Wolf. Dietrich Schäfer und Hans Delbrück: Nationale Ziele der deutschen geschichtschreibung seit der Französischen Revolution. F.A. Perthes, 1985.

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Ordinary geniuses: Max Delbrück, George Gamow, and the origins of genomics and big bang cosmology. Viking, 2011.

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Bielka, Heinz. Die Medizinisch-Biologischen Institute Berlin-Buch: Beiträge zur Geschichte. Springer, 1997.

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Book chapters on the topic "Delbruck"

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Beese, Wolfgang. "Max Delbrück: A Physicist in Biology." In World Views and Scientific Discipline Formation. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3164-3_38.

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Lang, Gregory I. "Measuring Mutation Rates Using the Luria-Delbrück Fluctuation Assay." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7306-4_3.

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Bielka, Heinz. "Max-Delbrück-Centrum für Molekulare Medizin (MDC) 1992–1997." In Die Medizinisch-Biologischen Institute Berlin-Buch. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-00652-8_9.

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Bubenik, Vit. "31. Berthold Delbrück and his Contemporaries on ‘Tempora’ in Sanskrit." In The Emergence of the Modern Language Sciences. John Benjamins Publishing Company, 1999. http://dx.doi.org/10.1075/z.emls2.14bub.

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Kreutzmann, Marko. "»… den bewährten Traditionen des Zollvereins gemäß«. Die Wahl Rudolph Delbrücks zum Reichstagsabgeordneten im Wahlkreis Jena-Neustadt im Jahr 1878." In Zwischen Stadt, Staat und Nation. Vandenhoeck & Ruprecht, 2014. http://dx.doi.org/10.13109/9783666301698.115.

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Dronamraju, Krishna. "Max Delbruck (1906–1981)." In A Century of Geneticists. CRC Press, 2018. http://dx.doi.org/10.1201/9781315152257-18.

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Schindler, Thomas E. "The Anomaly of Bacterial Genetics." In A Hidden Legacy. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197531679.003.0005.

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This chapter reviews the research that set the stage for Joshua Lederberg’s surprising discovery of bacterial conjugation. While the foundational research of Gregor Mendel and his principles of inheritance had been effectively combined with Darwinian evolution, producing the Modern Synthesis in the mid-forties, bacteria did not fit into this grand synthesis. Most biologists believed that bacteria were too primitive to have real genes. But Delbruck, Hershey and Luria organized the Phage School, leading a novel approach to discovering the molecular biology of the gene by studying bacteriophages. Microbiologists like Tracy Sonneborn and Carl Lindegren turned to alternative microorganisms—protists, fungi, and yeast—to develop new model systems that offered advantages over the classical genetics organisms of animals and plants. The research of Edward Tatum and Jacques Monod indicated that mutations seemed to explain variation in bacteria. For many years, however, bacteriologists had known that bacteria reproduced by fission. The lack of any genetic hybridization seemed to argue against using bacteria to study basic genetic processes.
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Craig, Gordon A. "Delbrück:." In Makers of Modern Strategy from Machiavelli to the Nuclear Age. Princeton University Press, 2010. http://dx.doi.org/10.2307/j.ctv8xnhvw.16.

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Summers, W. C. "Delbrück, Max." In Encyclopedia of Genetics. Elsevier, 2001. http://dx.doi.org/10.1006/rwgn.2001.0316.

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Summers, W. C. "Delbrück, Max." In Brenner's Encyclopedia of Genetics. Elsevier, 2013. http://dx.doi.org/10.1016/b978-0-12-374984-0.00387-9.

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Conference papers on the topic "Delbruck"

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Koga, James K., and Takehito Hayakawa. "Delbrück Scattering Calculation Using the LoopTools Package." In Proceedings of the 12th Asia Pacific Physics Conference (APPC12). Journal of the Physical Society of Japan, 2014. http://dx.doi.org/10.7566/jpscp.1.016008.

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Siti Zuraida, M., C. R. Nurhaslina, and K. H. Ku Halim. "Adsorption of colour from Batik effluent by bacterial, Lactobacillus Delbruckii and its growth." In 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC). IEEE, 2013. http://dx.doi.org/10.1109/beiac.2013.6560194.

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Reports on the topic "Delbruck"

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Hubbell, J. H., and P. M. Jr Berstrom. Delbrück scattering:. National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.7115.

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