Gotowe bibliografie tematyczne / Genetic mapping

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Genetic mapping”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Genetic mapping"

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Salava, J., Y. Wang, B. Krška, et al. "Molecular genetic mapping in apricot." Czech Journal of Genetics and Plant Breeding 38, No. 2 (2012): 65–68. http://dx.doi.org/10.17221/6113-cjgpb.

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A genetic linkage map for apricot (Prunus armeniaca L.) has been constructed using amplified fragment length polymorphism (AFLP) markers in 80 BC1 individuals derived from a cross LE-3246 × Vestar. From 26 different primer combinations, a total of 248 AFLP markers were scored, of which, 40 were assigned to 8 linkage groups covering 315.8 cM of the apricot nuclear genome. The average interval between these markers was 7.7 cM. One gene (PPVres1) involved in resistance to PPV (Plum pox virus) was mapped. Two AFLP markers (EAA/MCAG8 and EAG/MCAT14) were found to be closely assoc
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Bo, W., Z. Wang, F. Xu, et al. "Shape mapping: genetic mapping meets geometric morphometrics." Briefings in Bioinformatics 15, no. 4 (2013): 571–81. http://dx.doi.org/10.1093/bib/bbt008.

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BORMAN, STU. "MAPPING HUMAN GENETIC VARIATION." Chemical & Engineering News 83, no. 8 (2005): 13. http://dx.doi.org/10.1021/cen-v083n008.p013.

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Dzau, Victor J., Howard J. Jacob, Klaus Lindpainter, Detlev Ganten, and Eric S. Lander. "Genetic mapping in hypertension." Journal of Vascular Surgery 15, no. 5 (1992): 930–31. http://dx.doi.org/10.1016/0741-5214(92)90757-y.

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Gulsen, Osman. "Genetic mapping in plants." Journal of Biotechnology 161 (November 2012): 7–8. http://dx.doi.org/10.1016/j.jbiotec.2012.07.171.

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Malke, Horst. "Genetic and Physical Mapping." Bioelectrochemistry and Bioenergetics 29, no. 3 (1993): 373–74. http://dx.doi.org/10.1016/0302-4598(93)85015-l.

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Ebersberger, I., P. Galgoczy, S. Taudien, S. Taenzer, M. Platzer, and A. von Haeseler. "Mapping Human Genetic Ancestry." Molecular Biology and Evolution 24, no. 10 (2007): 2266–76. http://dx.doi.org/10.1093/molbev/msm156.

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Hutchinson, Anna, Jennifer Asimit, and Chris Wallace. "Fine-mapping genetic associations." Human Molecular Genetics 29, R1 (2020): R81—R88. http://dx.doi.org/10.1093/hmg/ddaa148.

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Abstract Whilst thousands of genetic variants have been associated with human traits, identifying the subset of those variants that are causal requires a further ‘fine-mapping’ step. We review the basic fine-mapping approach, which is computationally fast and requires only summary data, but depends on an assumption of a single causal variant per associated region which is recognized as biologically unrealistic. We discuss different ways that the approach has been built upon to accommodate multiple causal variants in a region and to incorporate additional layers of functional annotation data. W
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Mynett-Johnson, Lesley A., and Patrick McKeon. "The molecular genetics of affective disorders: An overview." Irish Journal of Psychological Medicine 13, no. 4 (1996): 155–61. http://dx.doi.org/10.1017/s0790966700004444.

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AbstractObjective: Genetic mapping, the method of comparing an inheritance pattern of a disease to that of a chromosomal region, has brought about a revolution in the field of human inherited diseases. Diseases which exhibit a more complex pattern of inheritance now afford the next challange in the application of genetic mapping to the field of human disease. This article aims to review the application of genetic mapping to affective disorders.Method: Review of literature concerning the molecular genetics of affective disorders.Findings: This article describes the evidence for a genetic role i
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Ryma, Guefrouchi, and Kholladi Mohamed-Khireddine. "Genetic Algorithm With Hill Climbing for Correspondences Discovery in Ontology Mapping." Journal of Information Technology Research 12, no. 4 (2019): 153–70. http://dx.doi.org/10.4018/jitr.2019100108.

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Meta-heuristics are used as a tool for ontology mapping process in order to improve their performance in mapping quality and computational time. In this article, ontology mapping is resolved as an optimization problem. It aims at optimizing correspondences discovery between similar concepts of source and target ontologies. For better guiding and accelerating the concepts correspondences discovery, the article proposes a meta-heuristic hybridization which incorporates the Hill Climbing method within the mutation operator in the genetic algorithm. For test concerns, syntactic and lexical similar
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Rozprawy doktorskie na temat "Genetic mapping"

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Parts, Leopold. "Genetic mapping of cellular traits." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609665.

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Melville, Scott Andrew Biotechnology &amp Biomolecular Sciences Faculty of Science UNSW. "Disease gene mapping in border collie dogs." Awarded by:University of New South Wales. School of Biotechnology and Biomolecular Sciences, 2006. http://handle.unsw.edu.au/1959.4/25511.

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Pedigree dog breeds are genetically isolated and inbred populations with characteristics specific to each breed. Some breeds carry genetic diseases which affect the health of the animals, but may also serve as a valuable model to identify genes involved in human disease. In the Border Collie breed in Australia, the identification of two disease genes would enable breeders to DNA test their animals and prevent future cases. Over 530 samples were collected to identify the genes responsible for these diseases through linkage mapping and candidate gene approaches. Collie Eye Anomaly (CEA) defines
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Einarsdottir, Elisabet. "Mapping genetic diseases in northern Sweden." Doctoral thesis, Umeå universitet, Medicinsk biovetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-499.

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The population of northern Sweden has previously been shown to be well suited for the mapping of monogenic diseases. In this thesis we have tested the hypothesis that this population could also be used for efficient identification of risk genes for common diseases. In Paper I we have hypothesised that despite the admixture of Swedish, Finnish and Sami, the northern Swedish population consists of sub-populations geographically restricted by the main river valleys running through the region. This geographic isolation, in combination with founder effects and genetic drift, could represent a uniqu
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Einarsdóttir, Elísabet. "Mapping genetic diseases in northern Sweden." Umeå : Department of Medical Biosciences, Umeå University, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-499.

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MacGregor, Stuart. "Genetic linkage mapping in complex pedigrees." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/12507.

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Genetic linkage analysis is the primary method for the identification of loci contributing to complex disease susceptibility. Linkage analysis techniques can be applied to both disease status (discrete traits) and to quantitative trait measures (quantitative trait loci or QTL mapping). Such techniques will be most effective if they can be applied to all of the available data; in human, ecological and livestock genetics this often means families with complex pedigree structures. The analysis of complex pedigrees is more difficult, both in terms of model formulation and computational ease, than
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Zenger, Kyall Richard. "Genetic linkage maps and population genetics of macropods." Phd thesis, Australia : Macquarie University, 2002. http://hdl.handle.net/1959.14/47604.

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"November 2001".<br>Thesis (PhD)--Macquarie University, Division of Environmental and Life Sciences, Department of Biological Sciences, 2002.<br>Bibliography: leaves 136-157.<br>General introduction -- Molecular markers for comparative and quantitative studies in macropods -- Genetic linkage map construction in the tammar wallaby (M. eugenii) -- Intraspecific variation, sex-biased dispersal and phylogeography of the eastern grey kangaroo (M. giganteus) -- General discussion.<br>The analysis of DNA using molecular techniques is an important tool for studies of evolutionary relationships, popula
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Johanneson, Bo. "Genetic Mapping of Susceptibility Genes for Systemic Lupus Erythematosus." Doctoral thesis, Uppsala University, Department of Genetics and Pathology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2950.

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<p>Systemic lupus erythematosus (SLE) is a complex autoimmune disease with unknown etiology. The aim of this thesis was to identify susceptibility regions through genetic mapping, using model-based linkage analysis on nuclear and extended SLE multicase families.</p><p>In the first paper we performed a genome scan on 19 genetically homogenous Icelandic and Swedish families. One region at 2q37 was identified with a significant linkage with contribution from both populations (Z=4.24). Five other regions 2q11, 4p13, 9p22, 9p13 and 9q13 showed suggestive linkage (Z>2.0).</p><p>In the second paper,
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Guo, Youling, and 郭友玲. "Genetic and genomic mapping of common diseases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50533861.

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 Genome-wide mapping of susceptibility genes was conducted in two complex disorders of hypertension and epilepsy, allowing the dissection of the genetic architecture of these common diseases and related quantitative traits. The study performed comprehensive genetic analyses in a genome-wide scale, using different structure of data – sib-pairs and case-control samples. To identify genes influencing hypertension and blood pressure, a combined linkage and association study was conducted using over half a million SNPs genotyped in 328 siblings. Regions of significant linkage were identified fo
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Moody, Adrian John. "Mapping genetic resistance to infectious bursal disease." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326754.

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Duran, Alonso Maria Beatriz. "Genetic mapping of the rat agu gene." Thesis, University of Glasgow, 1997. http://theses.gla.ac.uk/39021/.

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In 1993, a mutant strain, AS/AGU arose spontaneously in an enclosed colony of the Albino Swiss (AS) strain of rat. AS/AGU animals exhibit a set of locomotor abnormalities. They display a general instability and whole body tremor, are slow at initiating movement, show reductions in purposeful action, and perform poorly at locomotor tests such as mid-air righting. L-dopa administration or fetal midbrain transplants reverse the majority of the symptoms, resembling the observations made on Parkinson's disease patients. These features make the AS/AGU strain a useful model for movement disorders due
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Książki na temat "Genetic mapping"

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Vizeacoumar, Franco Joseph, and Andrew Freywald, eds. Mapping Genetic Interactions. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1740-3.

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E, Davies K., and Tilghman Shirley M, eds. Genetic and physical mapping. Cold Spring Harbor Laboratory Press, 1990.

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Ivar-Harry, Pawlowitzki, Edwards J. H, and Thompson E. A. 1949-, eds. Genetic mapping of disease genes. Academic Press, 1997.

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Speed, Terry, and Michael S. Waterman, eds. Genetic Mapping and DNA Sequencing. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0751-1.

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P, Speed T., and Waterman Michael S, eds. Genetic mapping and DNA sequencing. Springer, 1996.

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Leong, Merlin Mei Lun. Current gene mapping methods. Servicio Editorial Universidad de Pais Vasco, 1985.

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Boopathi, N. Manikanda. Genetic Mapping and Marker Assisted Selection. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0958-4.

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Boopathi, N. Manikanda. Genetic Mapping and Marker Assisted Selection. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2949-8.

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Khalid, Meksem, and Kahl Günter, eds. The Handbook of plant genome mapping: Genetic and physical mapping. Wiley-VCH, 2005.

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1957-, Haines Jonathan L., and Pericak-Vance Margaret Ann, eds. Approaches to gene mapping in complex human diseases. Wiley-Liss, 1998.

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Części książek na temat "Genetic mapping"

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Schuster, Ivan. "Soybean Genetic Mapping." In Soybean Breeding. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57433-2_13.

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Gaspin, Christine, and Thomas Schiex. "Genetic algorithms for genetic mapping." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0026597.

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Evans, Glen A., and David L. McElligott. "Physical Mapping of Human Chromosomes." In Genetic Engineering. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3424-2_15.

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Rathore, Heena. "Genetic Algorithms." In Mapping Biological Systems to Network Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29782-8_8.

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Michelmore, Richard W., Richard V. Kesseli, and Edward J. Ryder. "Genetic mapping in lettuce." In Advances in Cellular and Molecular Biology of Plants. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1104-1_12.

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Knapp, Steven J., Simon T. Berry, and Loren H. Rieseberg. "Genetic mapping in sunflowers." In Advances in Cellular and Molecular Biology of Plants. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9815-6_22.

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Coe, E. H. "Genetic Experiments and Mapping." In The Maize Handbook. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2694-9_20.

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Malhotra, Era Vaidya, and Madhvi Soni. "Markers and Genetic Mapping." In Strawberries. CRC Press, 2019. http://dx.doi.org/10.1201/b21441-194.

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Beckmann, Jacques S. "Genetic Mapping, an Overview." In Computational Methods in Genome Research. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2451-9_6.

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Leitão, José Manuel. "Genetic Mapping in Pineapple." In Genetics and Genomics of Pineapple. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00614-3_5.

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Streszczenia konferencji na temat "Genetic mapping"

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Fang, Caili, Zhouju Ma, Ming Xin, Yindong Hu, Jiao Zhang, and Hui Wang. "Exploring genetic algorithms for urban pipeline data matching." In Fourth International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2025), edited by Jinjian Wu and Juanle Wang. SPIE, 2025. https://doi.org/10.1117/12.3066562.

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Wang, Bojie. "The genetic analysis and their mineralogical, petrological characteristics of magnetite breccia, Ghana." In Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), edited by Zhiliang Qin, Jun Chen, and Huaichun Wu. SPIE, 2025. https://doi.org/10.1117/12.3057550.

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Wang, Chenyang, Sixuan Li, and Min Huang. "Research on SAR detection performance prediction model based on genetic algorithm and stacking ensemble learning." In Fourth International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2025), edited by Jinjian Wu and Juanle Wang. SPIE, 2025. https://doi.org/10.1117/12.3066586.

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Sivakumar, Vidhya Lakshmi, and R. Soundharyaa Shri Harini. "Prediction of Groundwater Potential Mapping using Linear Regression and Genetic Algorithm." In 2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2024. https://doi.org/10.1109/icssas64001.2024.10760977.

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Sun, Zhifang, Shengjie Jin, Jinxue Duan, Junqiang Jiang, and Zebo Peng. "A Relative-Priority Encoding Genetic Algorithm for Integrated Mapping and Scheduling Optimization." In 2024 2nd International Symposium of Electronics Design Automation (ISEDA). IEEE, 2024. http://dx.doi.org/10.1109/iseda62518.2024.10618012.

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Rofidah, Maya Rizqiatur, Diah Puspito Wulandari, and Arief Kurniawan. "School Zone Mapping Based on Education and Population Data Using Genetic Algorithm." In 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2024. http://dx.doi.org/10.1109/isitia63062.2024.10668055.

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Xu, Yaoqun, and Jiaoyang Liu. "Color image encryption using genetic recombination with tent-mapping-based time-delay chaotic." In Fourth International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2024), edited by Hoshang Kolivand and Ata Jahangir Moshayedi. SPIE, 2024. http://dx.doi.org/10.1117/12.3045535.

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Sun, Zhifang, Shengjie Jin, Jinxue Duan, Junqiang Jiang, and Zebo Peng. "Integrated Mapping and Scheduling Optimization with Genetic Algorithms Based on a Novel Encoding Scheme." In 2024 27th Euromicro Conference on Digital System Design (DSD). IEEE, 2024. http://dx.doi.org/10.1109/dsd64264.2024.00039.

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Schwarz, Tobias, and Christian Hochberger. "Technology Mapping of Genetic Circuits." In ICCAD '22: IEEE/ACM International Conference on Computer-Aided Design. ACM, 2022. http://dx.doi.org/10.1145/3508352.3549344.

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Moreno, Matthew Andres, Wolfgang Banzhaf, and Charles Ofria. "Learning an evolvable genotype-phenotype mapping." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205455.3205597.

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Raporty organizacyjne na temat "Genetic mapping"

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Williams, Rebecca L., and Amy Moser. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada398591.

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Moser, Amy R. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada413038.

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Moser, Amy R. Mapping Genetic Modifiers of Mammary Tumor Susceptibility. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada417279.

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Belanger, Faith, Nativ Dudai, and Nurit Katzir. Genetic Linkage Mapping of Basil (Ocimum basilicum). United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7593385.bard.

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The ultimate goal of this project is to develop a genetic linkage map of basil (Ocimumbasilicum). We received 1 year of funding from BARD to conduct a feasibility study. Below is a summary of our study. During this year we evaluated the cultivars ‘Perrie’ and ‘Cardinal’ for DNA sequence polymorphisms using AFLPs and gene-based markers. We evaluated an F2 population for variation in production of volatile compounds. We also determined the nuclear DNA content of 8 species of Ocimum. All of this information will be useful in the future for genetic linkage mapping of basil.
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Zhang, Hongbin, Shahal Abbo, Weidong Chen, Amir Sherman, Dani Shtienberg, and Frederick Muehlbauer. Integrative Physical and Genetic Mapping of the Chickpea Genome for Fine Mapping and Analysis of Agronomic Traits. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7592122.bard.

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Chickpea is the third most important pulse crop in the world and ranks first in the Middle East; however, it has been subjected to only limited research in modern genomics. In the first period of this project (US-3034-98R) we constructed two large-insert BAC and BIBAC libraries, developed 325 SSR markers and mapped QTLs controlling ascochyta blight resistance (ABR) and days to first flower (DTF). Nevertheless, the utilities of these tools and results in gene discovery and marker-assisted breeding are limited due to the absence of an essential platform. The goals of this period of the project w
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Zhang, Hongbin B., David J. Bonfil, and Shahal Abbo. Genomics Tools for Legume Agronomic Gene Mapping and Cloning, and Genome Analysis: Chickpea as a Model. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586464.bard.

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The goals of this project were to develop essential genomic tools for modern chickpea genetics and genomics research, map the genes and quantitative traits of importance to chickpea production and generate DNA markers that are well-suited for enhanced chickpea germplasm analysis and breeding. To achieve these research goals, we proposed the following research objectives in this period of the project: 1) Develop an ordered BAC library with an average insert size of 150 - 200 kb (USA); 2) Develop 300 simple sequence repeat (SSR) markers with an aid of the BAC library (USA); 3) Develop SSR marker
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Joel, Daniel M., Steven J. Knapp, and Yaakov Tadmor. Genomic Approaches for Understanding Virulence and Resistance in the Sunflower-Orobanche Host-Parasite Interaction. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7592655.bard.

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Oroginal Objectives: (i) identify DNA markers linked to the avirulence (Avr) locus and locate the Avr locus through genetic mapping with an inter-race Orobanche cumana population; (ii) develop high-throughput fingerprint DNA markers for genotypingO. cumana races; (iii) identify nucleotide binding domain leucine rich repeat (NB-LRR) genes encoding R proteins conferring resistance to O. cumana in sunflower; (iv) increase the resolution of the chromosomal segment harboring Or₅ and related R genes through genetic and physical mapping in previously and newly developed mapping populations of sunflow
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Herman, Gail E. Comprehensive Clinical Phenotyping & Genetic Mapping for the Discovery of Autism Susceptibility Genes. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada607156.

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King, Mary-Claire, and Warren Winkelstein Jr. Genetic Alterations in Familial Breast Cancer: Mapping and Cloning Genes Other than BRCA1. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada328004.

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Herman, Gail E., Emily Hansen, Wolfgang Sadee, Ray Smith, Mary Beth Dewitt, and Eric Seiber. Comprehensive Clinical Phenotyping and Genetic Mapping for the Discovery of Autism Susceptibility Genes. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada585946.

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