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Bibliografías temáticas / Genetic / Artículos de revistas

Artículos de revistas sobre el tema "Genetic"

Siga este enlace para ver otros tipos de publicaciones sobre el tema: Genetic.

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 15 de junio de 2024

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1

Sumida, Brian. "Genetics for genetic algorithms". ACM SIGBIO Newsletter 12, n.º 2 (junio de 1992): 44–46. http://dx.doi.org/10.1145/130686.130694.

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2

Niendorf, Kristin Baker. "Genetic Library: Cancer Genetics". Journal of Genetic Counseling 11, n.º 5 (octubre de 2002): 429–34. http://dx.doi.org/10.1023/a:1016854001384.

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3

Comfort, Nathaniel. "Genetics: The genetic watchmaker". Nature 502, n.º 7472 (octubre de 2013): 436–37. http://dx.doi.org/10.1038/502436a.

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4

Clarke, Angus. "Genetic imprinting in clinical genetics". Development 108, Supplement (1 de abril de 1990): 131–39. http://dx.doi.org/10.1242/dev.108.supplement.131.

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Genetic, and indeed genomic, imprinting does occur in humans. This is manifest at the level of the genome, the individual chromosome, subchromosomal region or fragile site, or the single locus. The best evidence at the single gene level comes from a consideration of familial tumour syndromes. Chromosomal imprinting effects are revealed when uniparental disomy occurs, as in the Prader-Willi syndrome and doubtless other sporadic, congenital anomaly syndromes. Genomic imprinting is manifest in the developmental defects of hydatidiform mole, teratoma and triploidy. Fragile (X) mental retardation shows an unusual pattern of inheritance, and imprinting can account for these effects. Future work in clinical genetics may identify congenital anomalies and growth disorders caused by imprinting: the identification of imprinting effects for specific chromosomal regions in mice will allow the examination of the homologous chromosomal region in humans.

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5

Kallab, Chadi, Samir Haddad y Jinane Sayah. "Flexible Traceable Generic Genetic Algorithm". Open Journal of Applied Sciences 12, n.º 06 (2022): 877–91. http://dx.doi.org/10.4236/ojapps.2022.126060.

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6

Shanmugam, Ramalingam. "Biostatistical genetics and genetic epidemiology". Journal of Statistical Computation and Simulation 73, n.º 7 (julio de 2003): 543–44. http://dx.doi.org/10.1080/0094965021000044411.

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7

Siegel, PB y EA Dunnington. "Genetic selection strategies–population genetics". Poultry Science 76, n.º 8 (agosto de 1997): 1062–65. http://dx.doi.org/10.1093/ps/76.8.1062.

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8

Athanasiou, Y., M. Zavros, M. Arsali, L. Papazachariou, P. Demosthenous, I. Savva, K. Voskarides et al. "GENETIC DISEASES AND MOLECULAR GENETICS". Nephrology Dialysis Transplantation 29, suppl 3 (1 de mayo de 2014): iii339—iii350. http://dx.doi.org/10.1093/ndt/gfu162.

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9

Ziegel, Eric R. "Biostatistical Genetics and Genetic Epidemiology". Technometrics 44, n.º 4 (noviembre de 2002): 409. http://dx.doi.org/10.1198/tech.2002.s98.

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10

Neville, Melvin y Anaika Sibley. "Developing a generic genetic algorithm". ACM SIGAda Ada Letters XXIII, n.º 1 (marzo de 2003): 45–52. http://dx.doi.org/10.1145/1066404.589462.

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11

Elias, Sherman y George J. Annas. "Generic Consent for Genetic Screening". New England Journal of Medicine 330, n.º 22 (2 de junio de 1994): 1611–13. http://dx.doi.org/10.1056/nejm199406023302213.

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12

Stekrova, J., J. Reiterova, V. Elisakova, M. Merta, M. Kohoutova, V. Tesar, S. Suvakov et al. "Genetic diseases and molecular genetics". Clinical Kidney Journal 4, suppl 2 (1 de junio de 2011): 4.s2.28. http://dx.doi.org/10.1093/ndtplus/4.s2.28.

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13

Caron, Paul R. "Genetic approach to chemical genetics ▾". Drug Discovery Today 7, n.º 22 (noviembre de 2002): 1121. http://dx.doi.org/10.1016/s1359-6446(02)02506-0.

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14

Legendre, C., D. Cohen, Y. Delmas, T. Feldkamp, D. Fouque, R. Furman, O. Gaber et al. "Genetic diseases and molecular genetics". Nephrology Dialysis Transplantation 28, suppl 1 (1 de mayo de 2013): i309—i321. http://dx.doi.org/10.1093/ndt/gft126.

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15

Smith, Douglas M. "Genetic testingAbout epilepsy and genetics". Neurology 92, n.º 5 (28 de enero de 2019): e523-e526. http://dx.doi.org/10.1212/wnl.0000000000006863.

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16

Shah, Ebrahim. "Biostatistical Genetics and Genetic Epidemiology." International Journal of Epidemiology 32, n.º 3 (junio de 2003): 474. http://dx.doi.org/10.1093/ije/dyg171.

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17

Raol, Jitendra R. y Abhijit Jalisatgi. "From genetics to genetic algorithms". Resonance 1, n.º 8 (agosto de 1996): 43–54. http://dx.doi.org/10.1007/bf02837022.

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18

Morin-Chassé, Alexandre. "Behavioral Genetics, Population Genetics, and Genetic Essentialism". Science & Education 29, n.º 6 (4 de noviembre de 2020): 1595–619. http://dx.doi.org/10.1007/s11191-020-00166-y.

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19

Lynch, Henry T. y Jane F. Lynch. "Breast cancer genetics: Family history, heterogeneity, molecular genetic diagnosis, and genetic counseling". Current Problems in Cancer 20, n.º 6 (noviembre de 1996): 329–65. http://dx.doi.org/10.1016/s0147-0272(96)80010-9.

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20

Brower, Vicki. "From Genetic Systems to Seattle Genetics". Nature Biotechnology 16, n.º 6 (junio de 1998): 508. http://dx.doi.org/10.1038/nbt0698-508b.

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21

Burke, Donald S., Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey y Annie S. Wu. "Putting More Genetics into Genetic Algorithms". Evolutionary Computation 6, n.º 4 (diciembre de 1998): 387–410. http://dx.doi.org/10.1162/evco.1998.6.4.387.

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The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented goals of the evolutionary computation community. Understanding better and reducing this gap between GAs and genetics has been a central issue in an interdisciplinary project whose goal is to build GA-based computational models of viral evolution. The result is a system called Virtual Virus (VIV). VIV incorporates a number of more biologically plausible mechanisms, including a more flexible genotype-to-phenotype mapping. In VIV the genes are independent of position, and genomes can vary in length and may contain noncoding regions, as well as duplicative or competing genes. Initial computational studies with VIV have already revealed several emergent phenomena of both biological and computational interest. In the absence of any penalty based on genome length, VIV develops individuals with long genomes and also performs more poorly (from a problem-solving viewpoint) than when a length penalty is used. With a fixed linear length penalty, genome length tends to increase dramatically in the early phases of evolution and then decrease to a level based on the mutation rate. The plateau genome length (i.e., the average length of individuals in the final population) generally increases in response to an increase in the base mutation rate. When VIV converges, there tend to be many copies of good alternative genes within the individuals. We observed many instances of switching between active and inactive genes during the entire evolutionary process. These observations support the conclusion that noncoding regions serve as scratch space in which VIV can explore alternative gene values. These results represent a positive step in understanding how GAs might exploit more of the power and flexibility of biological evolution while simultaneously providing better tools for understanding evolving biological systems.

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22

Megson, G. M. y I. M. Bland. "Generic systolic array for genetic algorithms". IEE Proceedings - Computers and Digital Techniques 144, n.º 2 (1997): 107. http://dx.doi.org/10.1049/ip-cdt:19971126.

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23

Lerner, Barbara, Carol Christianson, Lori Engler-Todd, Sara Goldman, Karen Greendale, Julianne M. O'Daniel, Myra I. Roche y Kerry Silvey. "Genetic Library: Genetics and Public Health". Journal of Genetic Counseling 13, n.º 3 (18 de mayo de 2004): 259–66. http://dx.doi.org/10.1023/b:jogc.0000027960.06945.48.

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24

Miller, Matthew A., John H. Fingert y Daniel I. Bettis. "Genetics and genetic testing for glaucoma". Current Opinion in Ophthalmology 28, n.º 2 (marzo de 2017): 133–38. http://dx.doi.org/10.1097/icu.0000000000000344.

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25

Hamby, Lori y Constance A. Griffin. "Genetic Library Video Reviews: Cancer Genetics". Journal of Genetic Counseling 12, n.º 2 (abril de 2003): 185–92. http://dx.doi.org/10.1023/a:1022615408076.

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26

Harris, Rodney. "Genetic counselling and the new genetics". Trends in Genetics 4, n.º 2 (febrero de 1988): 52–56. http://dx.doi.org/10.1016/0168-9525(88)90067-4.

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27

Philip, Adejumo A. "P3-456: Genetics and genetic testing". Alzheimer's & Dementia 4 (julio de 2008): T655. http://dx.doi.org/10.1016/j.jalz.2008.05.2027.

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28

Lois, Carlos y James O. Groves. "Genetics in non-genetic model systems". Current Opinion in Neurobiology 22, n.º 1 (febrero de 2012): 79–85. http://dx.doi.org/10.1016/j.conb.2011.11.002.

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29

Lunn, Mitchell R. y Brent R. Stockwell. "Chemical Genetics and Orphan Genetic Diseases". Chemistry & Biology 12, n.º 10 (octubre de 2005): 1063–73. http://dx.doi.org/10.1016/j.chembiol.2005.09.005.

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30

Sprenger, G. A., M. A. Typas y C. Drainas. "Genetics and genetic engineering ofZymomonas mobilis". World Journal of Microbiology & Biotechnology 9, n.º 1 (enero de 1993): 17–24. http://dx.doi.org/10.1007/bf00656509.

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31

Yan, H. "GENETICS: Genetic Testing- Present and Future". Science 289, n.º 5486 (15 de septiembre de 2000): 1890–92. http://dx.doi.org/10.1126/science.289.5486.1890.

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32

Wierzbicki, Anthony S. "Genetics and molecular biology: Genetic epidemiology". Current Opinion in Lipidology 15, n.º 6 (diciembre de 2004): 699–701. http://dx.doi.org/10.1097/00041433-200412000-00011.

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33

Jamieson, Annie y Gregory Radick. "Genetic Determinism in the Genetics Curriculum". Science & Education 26, n.º 10 (6 de julio de 2017): 1261–90. http://dx.doi.org/10.1007/s11191-017-9900-8.

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34

Nakamura, Yusuke. "Approaching genetic diseases by “reverse genetics”". Japanese journal of human genetics 35, n.º 1 (marzo de 1990): 20–21. http://dx.doi.org/10.1007/bf01883169.

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35

Bishop, Kathleen Kirk. "Psychosocial Aspects of Genetic Disorders: Implications for Practice". Families in Society: The Journal of Contemporary Social Services 74, n.º 4 (abril de 1993): 207–12. http://dx.doi.org/10.1177/104438949307400402.

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Generic disorders can potentially interfere with interpersonal relationships and normal social develop' ment as well as disrupt family life. As scientific and technological advances in medical genetics provide health professionals with a more comprehensive understanding of the origin, implications, and management of genetic disorders, professionals acquire expanded responsibilities. Social workers, who are often involved with individuals and families on a long-term basis, play an instrumental role in helping individuals and families make the necessary emotional and social adjustments following diagnosis of a genetic disease, understand the ramifications of the diagnosis, cope with the accompanying concerns, and find me appropriate services.

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36

Jensen, Pamela. "Genetic Privacy: The Potential for Genetic Discrimination in Insurance". Victoria University of Wellington Law Review 29, n.º 2 (1 de abril de 1999): 347. http://dx.doi.org/10.26686/vuwlr.v29i2.6035.

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The threat of modern genetics has been perceived as coming, rather dramatically, from genetic engineering, but the less flashy field of medical genetic testing poses significant and immediate issues. This article discusses the potential for breach of confidentiality or invasion of privacy through the acquisition of information, the disclosure of information, and the potential for prejudicial use of that information by third parties. The author concludes that New Zealand's ethical and legal aspects of human genetics needed a review at the time of writing, recommending an advisory group to be set up to monitor developments in human genetics, facilitate discussion with all relevant persons, groups and bodies, and report on issues arising from new developments in human genetics that can be expected to have wider ethical, social, economic, and legal consequences. However, the author does not find it necessary to enact genetic-specific legislation.

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37

Maryuningsih, Yuyun, Topik Hidayat, R. Riandi y Nuryani Y. Rustaman. "Application of genetic problem base online discussion to improve genetic literacy of prospective teachers". JPBI (Jurnal Pendidikan Biologi Indonesia) 8, n.º 1 (31 de marzo de 2022): 65–76. http://dx.doi.org/10.22219/jpbi.v8i1.19035.

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Genetics is a subject that is quite difficult according to students. Various strategies and methods are used to understand genetics in learning to have genetic literacy. One way of increasing genetic literacy in students is to apply genetic problems based on an online discussion in genetics lectures. The research was conducted to determine the effect of genetic problem-based online discussion on increasing students' genetic literacy. The research design used a pre-posttest control group design. It was carried out experimentally on three treatment groups: the genetic problem base of students, the genetic problem base of educators - students, and the genetic problem base of educators. According to the genetic literacy domain, genetic literacy is measured through multiple-choice tests, including genetic models, meiotic models, and molecular models. Manova analyzed the value of gene literacy, and a post-doc further test was performed to differentiate genetic literacy in the three treatment groups. The results showed that genetic literacy increased in all treatment groups, with the highest increase in the group that applied a genetic problem base focused on student problems.

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38

Kučera, L. "D.C. Rao & M.A. Province – Advances in Genetics,Vol. 42, Genetic Dissection of Complex Traits". Czech Journal of Genetics and Plant Breeding 38, No. 1 (30 de julio de 2012): 64. http://dx.doi.org/10.17221/6112-cjgpb.

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39

Siváková, Daniela, Marta Cvíčelová, Karol Hatiar y Hubert Walter. "Genetic studies in a North Slovakian isolate: Chmel'nica. 4. Anthropometric, genetical and behavioural characters". Zeitschrift für Morphologie und Anthropologie 80, n.º 3 (16 de noviembre de 1995): 361–70. http://dx.doi.org/10.1127/zma/80/1995/361.

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40

Paaby, Annalise y Greg Gibson. "Cryptic Genetic Variation in Evolutionary Developmental Genetics". Biology 5, n.º 2 (13 de junio de 2016): 28. http://dx.doi.org/10.3390/biology5020028.

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41

Curnow, R. N., A. H. D. Brown, M. T. Clegg, A. L. Kahler y B. S. Weir. "Plant Population Genetics, Breeding, and Genetic Resources." Biometrics 46, n.º 4 (diciembre de 1990): 1241. http://dx.doi.org/10.2307/2532478.

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42

Wang, Guoliang, Ruirui Ji, Wenxin Zou, Daniel J. Penny y Yuxin Fan. "Inherited Cardiomyopathies: Genetics and Clinical Genetic Testing". Cardiovascular Innovations and Applications 2, n.º 2 (1 de febrero de 2017): 297–308. http://dx.doi.org/10.15212/cvia.2017.0015.

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43

Kuchuk, N. V. "Cell genetic engineering: Transmission genetics of plants". Cytology and Genetics 51, n.º 2 (marzo de 2017): 103–7. http://dx.doi.org/10.3103/s0095452717020062.

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44

Aslamkhan, Muhammad. "Clinical Genetics and Genetic Counselling in Pakistan". Journal of Genes and Cells 1, n.º 2 (2 de abril de 2015): 31. http://dx.doi.org/10.15562/gnc.17.

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45

FRANK, D. W. y T. C. ZAHRT. "Genetics and Genetic Manipulation in Francisella Tularensis". Annals of the New York Academy of Sciences 1105, n.º 1 (29 de marzo de 2007): 67–97. http://dx.doi.org/10.1196/annals.1409.008.

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46

Dawes, Ian W. "Yeast genetics: Genetic control mechanisms: transcriptional twisting". Nature 324, n.º 6094 (noviembre de 1986): 214. http://dx.doi.org/10.1038/324214a0.

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47

Moreno, Victor. "Book Review: Biostatistical genetics and genetic epidemiology". Statistical Methods in Medical Research 14, n.º 1 (febrero de 2005): 115–16. http://dx.doi.org/10.1177/096228020501400109.

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48

Lacombe, Didier. "Teeth anomalies and genetics, including genetic syndromes". European Journal of Human Genetics 22, n.º 11 (16 de octubre de 2014): 1339. http://dx.doi.org/10.1038/ejhg.2014.98.

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49

Lyons, Leslie A. "Feline Genetics: Clinical Applications and Genetic Testing". Topics in Companion Animal Medicine 25, n.º 4 (noviembre de 2010): 203–12. http://dx.doi.org/10.1053/j.tcam.2010.09.002.

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50

Fulton, J. E. "GENETICS: Poultry Genetic Resources--Operation Rescue Needed". Science 300, n.º 5626 (13 de junio de 2003): 1667–68. http://dx.doi.org/10.1126/science.1085407.

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