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Статті в журналах з теми "Plant population genetics Statistical methods"
Hoeschele, I., P. Uimari, F. E. Grignola, Q. Zhang, and K. M. Gage. "Advances in Statistical Methods to Map Quantitative Trait Loci in Outbred Populations." Genetics 147, no. 3 (November 1, 1997): 1445–57. http://dx.doi.org/10.1093/genetics/147.3.1445.
Повний текст джерелаMitchell-Olds, T., and J. Bergelson. "Statistical genetics of an annual plant, Impatiens capensis. I. Genetic basis of quantitative variation." Genetics 124, no. 2 (February 1, 1990): 407–15. http://dx.doi.org/10.1093/genetics/124.2.407.
Повний текст джерелаWard, Sarah M., and Marie Jasieniuk. "Review: Sampling Weedy and Invasive Plant Populations for Genetic Diversity Analysis." Weed Science 57, no. 6 (December 2009): 593–602. http://dx.doi.org/10.1614/ws-09-082.1.
Повний текст джерелаEPPERSON, B. K., Z. HUANG, and T. Q. LI. "Measures of spatial structure in samples of genotypes for multiallelic loci." Genetical Research 73, no. 3 (June 1999): 251–61. http://dx.doi.org/10.1017/s001667239900378x.
Повний текст джерелаZhan, J., C. C. Mundt, and B. A. McDonald. "Estimation of Rates of Recombination and Migration in Populations of Plant Pathogens—A Reply." Phytopathology® 90, no. 4 (April 2000): 324–26. http://dx.doi.org/10.1094/phyto.2000.90.4.324.
Повний текст джерелаSTEFANINI, FEDERICO MATTIA, and ALESSANDRO CAMUSSI. "Information in molecular profile components evaluated by a Genetic Classifier System: a case study in Picea abies Karst." Genetical Research 70, no. 3 (December 1997): 205–13. http://dx.doi.org/10.1017/s001667239700298x.
Повний текст джерелаSokolovic, Dejan, Zoran Lugic, Jasmina Radovic, Tomislav Zivanovic, Snezana Babic, Aleksandar Simic, and Radojka Maletic. "Evaluation of morphological traits, dry matter yield and quality of Lolium perenne L. autochthonous populations from Serbia through multivariate analysis." Genetika 43, no. 1 (2011): 129–40. http://dx.doi.org/10.2298/gensr1101129s.
Повний текст джерелаTokhtar, Valeriy K., Yulia K. Vinogradova, Alexander A. Notov, Аndrey Yu Kurskoy, and Elena S. Danilova. "Main directions of the study of plant invasions in Russia." Environmental & Socio-economic Studies 9, no. 4 (December 1, 2021): 45–56. http://dx.doi.org/10.2478/environ-2021-0024.
Повний текст джерелаLucic, Aleksandar, Vasilije Isajev, Ljubinko Rakonjac, Milan Mataruga, Vojka Babic, Danijela Ristic, and Snezana Mladenovic-Drinic. "Application of various statistical methods to analyze genetic diversity of Austrian (Pinus nigra Arn.) and Scots pine (Pinus sylvestris L.) based on protein markers." Genetika 43, no. 3 (2011): 477–86. http://dx.doi.org/10.2298/gensr1103477l.
Повний текст джерелаLu, Zhiqiang, Yongshuai Sun, Ying Li, Yongzhi Yang, Gaini Wang, and Jianquan Liu. "Species delimitation and hybridization history of a hazel species complex." Annals of Botany 127, no. 7 (February 10, 2021): 875–86. http://dx.doi.org/10.1093/aob/mcab015.
Повний текст джерелаДисертації з теми "Plant population genetics Statistical methods"
Csilléry, Katalin. "Statistical inference in population genetics using microsatellites." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3865.
Повний текст джерелаShringarpure, Suyash. "Statistical Methods for studying Genetic Variation in Populations." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/117.
Повний текст джерелаMayor, Lianne Rosalind. "Statistical methods in molecular and population genetics : clustering of similar genes and investigating relatedness of individuals." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445322.
Повний текст джерелаAhiska, Bartu. "Reference-free identification of genetic variation in metagenomic sequence data using a probabilistic model." Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.561121.
Повний текст джерелаCoop, Graham M. "The likelihood of gene trees under selective models." Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:ba97d36c-61c1-40c8-a1f4-e7ddc8918d5b.
Повний текст джерелаCuthbertson, Charles. "Limits to the rate of adaptation." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670176.
Повний текст джерелаMcCaskie, Pamela Ann. "Multiple-imputation approaches to haplotypic analysis of population-based data with applications to cardiovascular disease." University of Western Australia. School of Population Health, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0160.
Повний текст джерелаCoelho, Alexandre Siqueira Guedes. "Abordagem Bayesiana na análise genética de populações utilizando dados de marcadores moleculares." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/11/11137/tde-30102002-163254/.
Повний текст джерелаAmong the various aspects generally considered in the genetic characterization of natural populations of plant species, the evaluation of the degree of genetic structure within and among individuals and the estimation of parameters related to the species mating system are of great importance. In general, considerable effort is focused on the estimation of the intrapopulation fixation index (f) and the outcrossing rate (t). Using computer simulated data, the dynamic nature of f for different loci along generations is illustrated. The dynamic nature of f is shown to result from the finite condition of populations and from the variation in the mean values of the outcrossing rates among generations. It is suggested that this dynamic behavior explains the inconsistency, commonly reported in the literature, of f estimates obtained for different loci in a given population. Using a Bayesian approach, we propose a hierarchical model for the estimation of f, incorporating information obtained from different unlinked loci and considering the conditionality of the estimation process to genetic polymorphism. The proposed model incorporates the dynamic nature of f values for different loci and allows the estimation of the effective number of reproductively active individuals in a given population. Using a similar approach, a Bayesian model is also proposed for estimating the outcrossing rate using multiple loci information and incorporating the possibility of apomixis. The models proposed are evaluated by computer simulations and examples using real data from codominant molecular markers are presented. Results obtained illustrate the applicability of the proposed methods and reveal the great potential of use of Bayesian statistics in population genetic studies.
Gazal, Steven. "La consanguinité à l'ère du génome haut-débit : estimations et applications." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA11T026/document.
Повний текст джерелаAn individual is said to be inbred if his parents are related and if his genealogy contains at least one inbreeding loop leading to a common ancestor. The inbreeding coefficient of an individual is defined as the probability that the individual has received two alleles identical by descent, coming from a single allele present in a common ancestor, at a random marker on the genome. The inbreeding coefficient is a central parameter in genetics, and is used in population genetics to characterize the population structure, and also in genetic epidemiology to search for genetic factors involved in recessive diseases.The inbreeding coefficient was traditionally estimated from genealogies, but methods have been developed to avoid genealogies and to estimate this coefficient from the information provided by genetic markers distributed along the genome.With the advances in high-throughput genotyping techniques, it is now possible to genotype hundreds of thousands of markers for one individual, and to use these methods to reconstruct the regions of identity by descent on his genome and estimate a genomic inbreeding coefficient. There is currently no consensus on the best strategy to adopt with these dense marker maps, in particular to take into account dependencies between alleles at different markers (linkage disequilibrium).In this thesis, we evaluated the different available methods through simulations using real data with realistic patterns of linkage disequilibrium. We highlighted an interesting approach that consists in generating several submaps to minimize linkage disequilibrium, estimating an inbreeding coefficient of each of the submaps based on a hidden Markov method implemented in FEstim software, and taking as estimator the median of these different estimates. The advantage of this approach is that it can be used on any sample size, even on an individual, since it requires no linkage disequilibrium estimate. FEstim is a maximum likelihood estimator, which allows testing whether the inbreeding coefficient is significantly different from zero and determining the most probable mating type of the parents. Finally, through the identification of homozygous regions shared by several consanguineous patients, our strategy permits the identification of recessive mutations involved in monogenic and multifactorial diseases.To facilitate the use of our method, we developed the pipeline FSuite, to interpret results of population genetics and genetic epidemiology studies, as shown on the HapMap III reference panel, and on a case-control Alzheimer's disease data
Rohrlach, Adam Benjamin. "Statistical Methods for Identifying Demographic Structure in DNA Sequence Alignments." Thesis, 2018. http://hdl.handle.net/2440/120353.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2018
Книги з теми "Plant population genetics Statistical methods"
Statistical genetics. New York: Wiley, 1993.
Знайти повний текст джерелаPrem, Narain. Statistical genetics. New York: Wiley, 1990.
Знайти повний текст джерелаJ, Balding D., Bishop M. J, and Cannings C. 1942-, eds. Handbook of statistical genetics. 3rd ed. Chichester, England: John Wiley & Sons, 2007.
Знайти повний текст джерелаGenetic data analysis: Methods for discrete population genetic data. Sunderland, Mass: Sinauer Associates, 1990.
Знайти повний текст джерела1943-, Weir B. S., ed. Interpreting DNA evidence: Statistical genetics for forensic scientists. Sunderland, Mass: Sinauer Associates, 1998.
Знайти повний текст джерелаFoulkes, Andrea S. Applied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.
Знайти повний текст джерелаApplied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.
Знайти повний текст джерелаFoulkes, Andrea S. Applied statistical genetics with R: For population-based association studies. New York: Springer Verlag, 2009.
Знайти повний текст джерелаWeir, B. S. Genetic data analysis II: Methods for discrete population genetic data. Sunderland, Mass: Sinauer Associates, 1996.
Знайти повний текст джерелаPotapov, V. A. Biometrii︠a︡ plodovykh kulʹtur. Michurinsk: Michurinskiĭ gos. agrarnyĭ universitet, 2004.
Знайти повний текст джерелаЧастини книг з теми "Plant population genetics Statistical methods"
Lange, Kenneth. "Basic Principles of Population Genetics." In Mathematical and Statistical Methods for Genetic Analysis, 1–18. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2739-5_1.
Повний текст джерелаLange, Kenneth. "Basic Principles of Population Genetics." In Mathematical and Statistical Methods for Genetic Analysis, 1–20. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21750-5_1.
Повний текст джерелаCrespo-Herrera, Leonardo A., José Crossa, Mateo Vargas, and Hans-Joachim Braun. "Defining Target Wheat Breeding Environments." In Wheat Improvement, 31–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_3.
Повний текст джерелаFu, Yun-Xin, and Xiaoming Liu. "Statistical Methods for Detecting the Presence of Natural Selection in Bacterial Populations." In Bacterial Population Genetics in Infectious Disease, 87–101. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470600122.ch5.
Повний текст джерелаdos Santos, Eduardo José Melo. "Statistical Approaches and Methods in Population Genetics Using Microsatellite Data." In DNA Profiling and DNA Fingerprinting, 215–28. Basel: Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-7582-0_14.
Повний текст джерелаMorota, Gota, Diego Jarquin, Malachy T. Campbell, and Hiroyoshi Iwata. "Statistical Methods for the Quantitative Genetic Analysis of High-Throughput Phenotyping Data." In Methods in Molecular Biology, 269–96. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2537-8_21.
Повний текст джерелаMontesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "General Elements of Genomic Selection and Statistical Learning." In Multivariate Statistical Machine Learning Methods for Genomic Prediction, 1–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_1.
Повний текст джерелаJankowicz-Cieslak, Joanna, Florian Goessnitzer, Bradley J. Till, and Ivan L. Ingelbrecht. "Induced Mutagenesis and In Vitro Mutant Population Development in Musa spp." In Efficient Screening Techniques to Identify Mutants with TR4 Resistance in Banana, 3–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64915-2_1.
Повний текст джерелаHonor, Richard, and Robert I. Colautti. "EICA 2.0: a general model of enemy release and defence in plant and animal invasions." In Plant invasions: the role of biotic interactions, 192–207. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242171.0192.
Повний текст джерелаAnderson, Eric C. "Statistical methods for identifying hybrids and groups." In Population Genetics for Animal Conservation, 25–41. Cambridge University Press, 2001. http://dx.doi.org/10.1017/cbo9780511626920.003.
Повний текст джерелаТези доповідей конференцій з теми "Plant population genetics Statistical methods"
Stingaci, Aurelia, and Leonid Volosciuc. "Particularitățile identificării VPN și VG a Hyphantria Cunea prin aplicarea microscopiei optice și electronice." In International symposium ”Functional ecology of animals” dedicated to the 70th anniversary from the birth of academician Ion Toderas. Institute of Zoology, Republic of Moldova, 2019. http://dx.doi.org/10.53937/9789975315975.61.
Повний текст джерелаLi, Yuhan, and Bo Kuang. "A Chinese 300MWe Two-Loop PWR NPP LBLOCA Analysis Based on the Deterministic Realistic Hybrid Methodology." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92431.
Повний текст джерелаUlrich, Thomas, Ronald Boring, and Roger Lew. "Studying Control Room Operations on a Shoestring Budget - Reflections on the Rancor Microworld." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001488.
Повний текст джерелаЗвіти організацій з теми "Plant population genetics Statistical methods"
Kistler, Harold Corby, and Talma Katan. Identification of DNA Unique to the Tomato Fusarium Wilt and Crown Rot Pathogens. United States Department of Agriculture, September 1995. http://dx.doi.org/10.32747/1995.7571359.bard.
Повний текст джерелаJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset, and Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
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