Relevant bibliographies by topics / Genetic code

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Genetic code'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Genetic code"

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Cavalcanti, Andre R. O., and Laura F. Landweber. "Genetic code." Current Biology 14, no. 4 (2004): R147. http://dx.doi.org/10.1016/j.cub.2004.01.041.

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Fimmel, Elena, and Lutz Strüngmann. "Linear codes and the mitochondrial genetic code." Biosystems 184 (October 2019): 103990. http://dx.doi.org/10.1016/j.biosystems.2019.103990.

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Habrel, Mykola, and Mykhailo Habrel. "GENETIC CODE OF THE CITY." Current problems of architecture and urban planning, no. 63 (April 14, 2022): 18–41. http://dx.doi.org/10.32347/2077-3455.2022.63.18-41.

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Advances in genetics as a science have led the authors to believe that its methods and approaches can be used in urban research and in justifying decisions on spatial organization and urban development. Using the theoretical and methodological tools of genetics revealed the content of the phenomenon of "genetic top" in urban planning and urban development: understood the key provisions of genetics as a science of heredity – the origin and evolution of organisms, substantiated their feasibility for research on urban history and modern cities; the peculiarities of the genetic method for the stud
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Omachi, Yuji, Nen Saito, and Chikara Furusawa. "Rare-event sampling analysis uncovers the fitness landscape of the genetic code." PLOS Computational Biology 19, no. 4 (2023): e1011034. http://dx.doi.org/10.1371/journal.pcbi.1011034.

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The genetic code refers to a rule that maps 64 codons to 20 amino acids. Nearly all organisms, with few exceptions, share the same genetic code, the standard genetic code (SGC). While it remains unclear why this universal code has arisen and been maintained during evolution, it may have been preserved under selection pressure. Theoretical studies comparing the SGC and numerically created hypothetical random genetic codes have suggested that the SGC has been subject to strong selection pressure for being robust against translation errors. However, these prior studies have searched for random ge
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KOJIMA, Tatsuya, Yuuki HAYASHI, and Hiroaki SUGA. "Genetic Code Reprogramming." Seibutsu Butsuri 52, no. 1 (2012): 004–9. http://dx.doi.org/10.2142/biophys.52.004.

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OHAMA, Takeshi, Yuji INAGAKI, Yoshitaka BESSHO, and Syozo OSAWA. "Evolving genetic code." Proceedings of the Japan Academy, Series B 84, no. 2 (2008): 58–74. http://dx.doi.org/10.2183/pjab.84.58.

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Marshall, J. "The genetic code." Proceedings of the National Academy of Sciences 111, no. 16 (2014): 5760. http://dx.doi.org/10.1073/pnas.1405652111.

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Helser, Terry L. "Genetic Code Wordsearch." Journal of Chemical Education 80, no. 4 (2003): 417. http://dx.doi.org/10.1021/ed080p417.

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YARUS, MICHAEL, and ERIC L. CHRISTIAN. "Genetic code origins." Nature 342, no. 6248 (1989): 349–50. http://dx.doi.org/10.1038/342349b0.

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Osawa, S., A. Muto, T. Ohama, Y. Andachi, R. Tanaka, and F. Yamao. "Prokaryotic genetic code." Experientia 46, no. 11-12 (1990): 1097–106. http://dx.doi.org/10.1007/bf01936919.

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Dissertations / Theses on the topic "Genetic code"

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Nicholls, Felicity K. M. "Genetic analysis of the gene Additional sex combs and interacting loci." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29644.

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In order to recover new mutant alleles of the Polycomb group gene Additional sex combs (Asx), mutagenized chromosomes were screened over the putative Asx allele XT129. Thirteen new mutant strains that fail to complement XT129 were recovered. Unexpectedly, the thirteen strains sorted into four complementation groups. Recombination mapping suggests that each complementation group represents a separate locus. The largest group fails to complement a deletion of Asx and maps in the vicinity of 2-72, the published location of Asx. All new mutant strains enhance the phenotype of Polycomb mutant flies
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Mat, Wai Kin. "Genetic code mutants of bacillus subtilis /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?BICH%202007%20MAT.

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Freeland, Stephen J. "Natural selection and the genetic code." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313922.

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Gutfraind, Alexander. "Error-Tolerant Coding and the Genetic Code." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2913.

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The following thesis is a project in mathematical biology building upon the so-called "error minimization hypothesis" of the genetic code. After introducing the biological context of this hypothesis, I proceed to develop some relevant information-theoretic ideas, with the overall goal of studying the structure of the genetic code. I then apply the newfound understanding to an important question in the debate about the origin of life, namely, the question of the temperatures in which the genetic code, and life in general, underwent their early evolution. <br /><br /> The main advance
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Mateus, Denisa Daud. "Molecular reconstruction of a genetic code alteration." Doctoral thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7501.

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Doutoramento em Bioquímica<br>The genetic code establishes the rules that govern gene translation into proteins. It was established more than 3.5 billion years ago and it is one of the most conserved features of life. Despite this, several alterations to the standard genetic code have been discovered in both prokaryotes and eukaryotes, namely in the fungal CTG clade where a unique seryl transfer RNA (tRNACAG Ser) decodes leucine CUG codons as serine. This tRNACAG Ser appeared 272±25 million years ago through insertion of an adenosine in the middle position of the anticodon of a tRNACG
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Gomes, Ana Catarina Batista. "Molecular evolution of a genetic code alteration." Doctoral thesis, Universidade de Aveiro, 2008. http://hdl.handle.net/10773/939.

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Doutoramento em Biologia<br>Durante os últimos anos, foram descritas alterações ao código genético, quer em procariotas, quer em eucariotas, quebrando o dogma de que o código genético é universal e imutável. Estudos recentes sugerem que a evolução de tais alterações requerem modificações ao nível da estrutura da maquinaria da tradução e são promovidas por mecanismos de descodificação ambígua. Em C. albicans, um organismo que é patogénico para o Homem, a alteração ao código genético é mediada por uma alteração na estrutura de um novo tRNACAG de serina que descodifica o codão CUG de leuci
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Silva, Raquel Monteiro Marques da. "Molecular reconstruction of a genetic code alteration." Doctoral thesis, Universidade de Aveiro, 2005. http://hdl.handle.net/10773/948.

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Doutoramento em Biologia<br>Várias espécies de Candida traduzem o codão CUG de leucina como serina. Esta alteração ao código genético é mediada por um novo tRNA (sertRNACAG), que pode ser carregado com serina (97 %) e leucina (3 %) in vivo. Por esta razão o codão CUG é ambíguo, pois pode ser descodificado como serina ou leucina. Para elucidar o impacto da ambiguidade do código genético na expressão génica e na fisiologia da célula, o ser-tRNACAG de C. albicans foi expresso em Saccharomyces cerevisiae. Isto induz a descodificação ambígua do codão CUG, devido à competição entre o tRNA end
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Bezerra, Ana Rita Macedo. "Molecular genomics of a genetic code alteration." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12499.

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Doutoramento em Biologia<br>The genetic code is not universal. Alterations to its standard form have been discovered in both prokaryotes and eukaryotes and demolished the dogma of an immutable code. For instance, several Candida species translate the standard leucine CUG codon as serine. In the case of the human pathogen Candida albicans, a serine tRNA (tRNACAGSer) incorporates in vivo 97% of serine and 3% of leucine in proteins at CUG sites. Such ambiguity is flexible and the level of leucine incorporation increases significantly in response to environmental stress. To elucidate the function
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Lajoie, Marc Joseph. "Genome Engineering Technologies to Change the Genetic Code." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11265.

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New technologies are making it possible to engineer organisms with fundamentally new and useful properties. In vivo genome engineering technologies capable of manipulating genomes from the nucleotide to the megabase scale were developed and applied to reassign the genetic code of Escherichia coli. Such genomically recoded organisms show promise for thwarting horizontal gene transfer with natural organisms, resisting viral infection, and expanding the chemical properties of proteins.
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Jääskelä, E. (Esa). "Genetic algorithm in code coverage guided fuzz testing." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201601151058.

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The security of computers is a growing concern when the amount of devices increases. New and more comprehensive testing methods need to be done to avoid damages to the users and their computers. Fuzzing is a testing method that inserts semi-valid input to the tested system and has before been considered as a good method for the security testing. However, it usually either does not get high code coverage or it requires a long set-up process or a source code analysis to achieve better code coverage. This work presents a genetic algorithm that automatically balances the probabilities of multiple
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Books on the topic "Genetic code"

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National Institutes of Health (U.S.). Clinical Center, ed. Breaking the genetic code. Clinical Center, National Institutes of Health, 1998.

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National Institutes of Health (U.S.). Clinical Center, ed. Breaking the genetic code. Clinical Center, National Institutes of Health, 1995.

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Ōsawa, Shōzō. Evolution of the genetic code. Oxford University Press, 1995.

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Silverstein, Alvin. The code of life. Dover Publications, 2004.

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Trifonov, Edward N. Gnomic: A dictionary of genetic codes. Balaban, 1986.

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Moody, Glyn. Digital Code of Life. John Wiley & Sons, Ltd., 2004.

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Maurel, Marie-Christine. Programme génétique: Concept biologique ou métaphore? Éditions Kimé, 2001.

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I, Kozlov N. Matematicheskiĭ analiz geneticheskogo koda. Binom. Laboratorii︠a︡ znaniĭ, 2010.

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Takeo, Takeyama, ed. Messenger RNA research perspectives. Nova Science Publishers, 2008.

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Farabaugh, Philip J. Programmed Alternative Reading of the Genetic Code. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5999-3.

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Book chapters on the topic "Genetic code"

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Peck, Stewart B., Carol C. Mapes, Netta Dorchin, et al. "Genetic Code." In Encyclopedia of Entomology. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_1055.

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Mierke, Claudia Tanja. "Genetic Code." In Cellular Mechanics and Biophysics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58532-7_11.

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Nahler, Gerhard. "genetic code." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_596.

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Freeland, Stephen. "Genetic Code." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27833-4_630-2.

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Freeland, Stephen. "Genetic Code." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_630.

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Freeland, Stephen. "Genetic Code." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_630.

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Freeland, Stephen. "Genetic Code." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-65093-6_630.

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Gooch, Jan W. "Genetic Code." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_13816.

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Kumar, Sanjay, and Akanksha Kushwaha. "Genetic Code." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_4-1.

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Kumar, Sanjay, and Akanksha Kushwaha. "Genetic Code." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_4.

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Conference papers on the topic "Genetic code"

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Wang, Jingyuan, Carol Hanna, and Justyna Petke. "Large Language Model Based Code Completion is an Effective Genetic Improvement Mutation." In 2025 IEEE/ACM International Workshop on Genetic Improvement (GI). IEEE, 2025. https://doi.org/10.1109/gi66624.2025.00011.

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Kubota, Shin, Kenichi Tabei, Kazuhiko Oonuma, and Hisashi Hayashi. "No-Code/Low-Code Ophthalmic Lens Design Using a Genetic Algorithm that Simplifies Optical Design Simulation." In 2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2024. http://dx.doi.org/10.1109/iiai-aai63651.2024.00099.

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Izrailov, Konstantin, and Igor Kotenko. "Investigating the Proximity Metric of Program Assembler Code for Genetic Reverse Engineering." In 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP). IEEE, 2025. https://doi.org/10.1109/pdp66500.2025.00090.

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Izrailov, Konstantin, and Igor Kotenko. "The Concept of Genetic Reverse-Engineering to Restore the Program’s Source Code from a Binary Code: Theory and Applying Practice." In 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS). IEEE, 2025. https://doi.org/10.1109/comsnets63942.2025.10885658.

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Browne, Will N. "Code Fragments." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2931737.

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Pantridge, Edward, and Lee Spector. "Code building genetic programming." In GECCO '20: Genetic and Evolutionary Computation Conference. ACM, 2020. http://dx.doi.org/10.1145/3377930.3390239.

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Abdullah, Alyasa Gan, and Yap Bee Wah. "Genetic code for sine." In THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907519.

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Silva, Maísa de Carvalho, Lariza Laura De Oliveira, and Renato Tinós. "Optimization of Expanded Genetic Codes via Genetic Algorithms." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4440.

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In the last decades, researchers have proposed the use of genetically modified organisms that utilize unnatural amino acids, i.e., amino acids other than the 20 amino acids encoded in the standard genetic code. Unnatural amino acids have been incorporated into genetically engineered organisms for the development of new drugs, fuels and chemicals. When new amino acids are incorporated, it is necessary to modify the standard genetic code. Expanded genetic codes have been created without considering the robustness of the code. The objective of this work is the use of genetic algorithms (GAs) for
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Petke, Justyna. "Genetic Improvement for Code Obfuscation." In GECCO '16: Genetic and Evolutionary Computation Conference. ACM, 2016. http://dx.doi.org/10.1145/2908961.2931689.

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Pantridge, Edward, Thomas Helmuth, and Lee Spector. "Functional code building genetic programming." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3512290.3528866.

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Reports on the topic "Genetic code"

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Rintoul, Mark Daniel, Elebeoba Eni May, William Michael Brown, Anna Marie Johnston, and Jean-Paul Watson. Deciphering the genetic regulatory code using an inverse error control coding framework. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/922758.

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Elmore, Joshua, and Elise Breysse. Developing a pipeline to expand the genetic code of diverse bacteria for microbial engineering. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2462801.

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Woese, Carl R., Nigel Goldenfeld, and Zaida Luthey-Schulten. Role of horizontal gene transfer as a control on the coevolution of ribosomal proteins and the genetic code. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1010449.

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Bennett, Alan B., Arthur Schaffer, and David Granot. Genetic and Biochemical Characterization of Fructose Accumulation: A Strategy to Improve Fruit Quality. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7571353.bard.

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The goal of the research project was to evaluate the potential to genetically modify or engineer carbohydrate metabolism in tomato fruit to enhance levels of fructose, a sugar with nearly twice the sweetness value of other sugars. The specific research objectives to achieve that goal were to: 1. Establish the inheritance of a fructose-accumulating trait identified in F1 hybrids of an inferspecific cross between L. hirsutum XL. esculentum and identify linked molecular markers to facilitate its introgression into tomato cultivars. This objective was completed with the genetic data indicating a s
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Moneghan, Daniel, Abdalla Abou-Jaoude, Chandrakanth Bolisetti, et al. A Generic Nuclear Code of Accounts for Cost Estimation Standardization. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2324771.

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Buser, CN, AAT Weber, PGD Feulner, et al. Genetica della conservazione in pratica: Come pianificare un progetto? Swiss Federal Institute for Forest, Snow and Landscape Research, WSL, 2025. https://doi.org/10.55419/wsl:40661.

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van der Mensbrugghe, Dominique. Using Python for Parallelization. GTAP Working Paper, 2023. http://dx.doi.org/10.21642/gtap.wp93.

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This short note describes one way of taking advantage of the multiple cores on most desktop computers. It describes running one of the processes in the GTAP build procedure called ’FIT’. The input to ’FIT’ is a balanced input-output table (IOT), which is adjusted to a number of exogenous elements including aggregate domestic absorption and import and export vectors. It is run for each of the countries/regions in the build, but there is no interaction across countries/regions and thus can be run in parallel. The procedure uses a Python script to run the ’FIT’ procedure, either sequentially or i
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Droby, Samir, Michael Wisniewski, Martin Goldway, Wojciech Janisiewicz, and Charles Wilson. Enhancement of Postharvest Biocontrol Activity of the Yeast Candida oleophila by Overexpression of Lytic Enzymes. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586481.bard.

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Enhancing the activity of biocontrol agents could be the most important factor in their success in controlling fruit disease and their ultimate acceptance in commercial disease management. Direct manipulation of a biocontrol agent resulting in enhancement of diseases control could be achieved by using recent advances in molecular biology techniques. The objectives of this project were to isolate genes from yeast species that were used as postharvest biocontrol agents against postharvest diseases and to determine their role in biocontrol efficacy. The emphasis was to be placed on the yeast, Can
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Owcarski, P., K. Burk, J. Ramsdell, and D. Yasuda. FPFP 2: A code for following airborne fission products in generic nuclear plant flow paths. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6116361.

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Paul, Satashree. The Criminal Behavior of Genes. Science Repository OÜ, 2020. http://dx.doi.org/10.31487/sr.blog.14.

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Identifying the crucial role of genetics in criminal behavior implies there must be something known as a “Crime Gene”. Genes come out as the strongest predictor of whether a person has predisposition towards crime or any criminal behavior.
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