Genetic concepts

Schork NJ, Greenwood TA, Braff DL. 2007. Statistical genetics concepts and approaches in schizophrenia and related neuropsychiatric research. Schizophr Bull 33 95-104. 

K21. Koneman, E. W., Maile, J. B., and Mason, A., Current biochemical and genetic concepts in the diagnosis of sickle cell-thalassemia. Amer. J. Clin. Pathol. 40, 1-20 (1963). 

For more detailed information about genetic concepts, refer to the recommended genetics textbook. ... 

Several genetic concepts are important for understanding biochemistry and molecular biology. The inherited traits of an individual are due to the genes carried in the cells of that individual. Different versions, alleles, of a gene give rise to different traits. 

Brinkley, B. R. (1969), Ultrastructural aspects of chromosome damage, in Genetic Concepts and Neoplasia, University of Texas Press. 

Inborn errors of metabolism the title of a book by Archibold Garrod published in 1902, in which the author recognized the relationship between genes and enzymes. Many metabolic disorders caused by the absence of a protein or the synthesis of a biologically inefficient form of a protein are genetic in origin. I. e. m. is therefore a biochemical and genetic concept synonymous with inherited metabolic block, inherited metabolic disorder, heritable disorder of metabolism, enzymopathy, and other similar terms. 

Lewis, Ricki. Human Genetics Concepts and Applications. 9th ed. New York McGraw-HiU, 2010. This textbook provides a broad overview of human genetics and genomics. 

Anderson DS. Genetic varieties in neoplasia, in Genetic Concepts and Neoplasia. Baltimore, Williams and Wilkins, 1970, pp 85-104. 

Arnold, M.L. and Burke, J.M. (2006) Natural Hybridization, in Evolutionary Genetics Concepts and Case Studies (eds C.W. Fox and J. B. Wolf), Oxford University Press, Oxford, pp. 399-4-13. 

The concept of genetic algorithms was developed in the 1970s by John Holland [17]. 

The evolutionary process of a genetic algorithm is accomplished by genetic operators which translate the evolutionary concepts of selection, recombination or crossover, and mutation into data processing to solve an optimization problem dynamically. Possible solutions to the problem are coded as so-called artificial chromosomes, which are changed and adapted throughout the optimization process until an optimrun solution is obtained. 

Steponkus, P. J. (1980). A unified concept of stress in plants In Genetic Engineering of Osmoregulation, ed. D.W. Rains, R.C. Valentine and A. Hollaender, pp. 235-58. London Plenum Press. 

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