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Journal articles on the topic 'Replication error'

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1

Kaochar, S., A. L. Paek, and T. Weinert. "Replication Error Amplified." Science 329, no. 5994 (2010): 911–13. http://dx.doi.org/10.1126/science.1194261.

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Paschalis, Vasileios, Emmanuelle Le Chatelier, Matthew Green, François Képès, Panos Soultanas, and Laurent Janniere. "Interactions of the Bacillus subtilis DnaE polymerase with replisomal proteins modulate its activity and fidelity." Open Biology 7, no. 9 (2017): 170146. http://dx.doi.org/10.1098/rsob.170146.

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During Bacillus subtilis replication two replicative polymerases function at the replisome to collectively carry out genome replication. In a reconstituted in vitro replication assay, PolC is the main polymerase while the lagging strand DnaE polymerase briefly extends RNA primers synthesized by the primase DnaG prior to handing-off DNA synthesis to PolC. Here, we show in vivo that (i) the polymerase activity of DnaE is essential for both the initiation and elongation stages of DNA replication, (ii) its error rate varies inversely with PolC concentration, and (iii) its misincorporations are cor
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3

Martignoni, Dirk. "Replication Errors and Error Robustness: When Positive Complementarities Are Negative." Academy of Management Proceedings 2018, no. 1 (2018): 15661. http://dx.doi.org/10.5465/ambpp.2018.15661abstract.

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4

Loken, Eric, and Andrew Gelman. "Measurement error and the replication crisis." Science 355, no. 6325 (2017): 584–85. http://dx.doi.org/10.1126/science.aal3618.

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5

Tippin, Brigette, Phuong Pham, and Myron F. Goodman. "Error-prone replication for better or worse." Trends in Microbiology 12, no. 6 (2004): 288–95. http://dx.doi.org/10.1016/j.tim.2004.04.004.

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6

Nakada, S., M. Kohno, and K. Watanabe. "-VBL replication error in Bloch line memory." IEEE Transactions on Magnetics 24, no. 6 (1988): 3042–44. http://dx.doi.org/10.1109/20.92328.

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7

JASS;, J. R. "Replication error phenotype in colorectal cancer Reply." Gut 47, no. 4 (2000): 597–98. http://dx.doi.org/10.1136/gut.47.4.597.

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8

Contreras, Ana Maria, Yoichi Hiasa, Wenping He, Adam Terella, Emmett V. Schmidt, and Raymond T. Chung. "Viral RNA Mutations Are Region Specific and Increased by Ribavirin in a Full-Length Hepatitis C Virus Replication System." Journal of Virology 76, no. 17 (2002): 8505–17. http://dx.doi.org/10.1128/jvi.76.17.8505-8517.2002.

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ABSTRACT High rates of genetic variation ensure the survival of RNA viruses. Although this variation is thought to result from error-prone replication, RNA viruses must also maintain highly conserved genomic segments. A balance between conserved and variable viral elements is especially important in order for viruses to avoid “error catastrophe.” Ribavirin has been shown to induce error catastrophe in other RNA viruses. We therefore used a novel hepatitis C virus (HCV) replication system to determine relative mutation frequencies in variable and conserved regions of the HCV genome, and we furt
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9

Al Mamun, Mohammed, Luca Albergante, Alberto Moreno, James T. Carrington, J. Julian Blow, and Timothy J. Newman. "Inevitability and containment of replication errors for eukaryotic genome lengths spanning megabase to gigabase." Proceedings of the National Academy of Sciences 113, no. 39 (2016): E5765—E5774. http://dx.doi.org/10.1073/pnas.1603241113.

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The replication of DNA is initiated at particular sites on the genome called replication origins (ROs). Understanding the constraints that regulate the distribution of ROs across different organisms is fundamental for quantifying the degree of replication errors and their downstream consequences. Using a simple probabilistic model, we generate a set of predictions on the extreme sensitivity of error rates to the distribution of ROs, and how this distribution must therefore be tuned for genomes of vastly different sizes. As genome size changes from megabases to gigabases, we predict that regula
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10

Marx, Andreas, and Daniel Summerer. "Molecular Insights into Error-Prone DNA Replication and Error-Free Lesion Bypass." ChemBioChem 3, no. 5 (2002): 405. http://dx.doi.org/10.1002/1439-7633(20020503)3:5<405::aid-cbic405>3.0.co;2-4.

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11

Sardanyés, Josep. "Error threshold ghosts in a simple hypercycle with error prone self-replication." Chaos, Solitons & Fractals 35, no. 2 (2008): 313–19. http://dx.doi.org/10.1016/j.chaos.2006.05.020.

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12

Voormann, Anne, Annelie Rothe-Wulf, Jeffrey J. Starns, and Karl Christoph Klauer. "Does speed of recognition predict two-alternative forced-choice performance? Replicating and extending Starns, Dubé, and Frelinger (2018)." Quarterly Journal of Experimental Psychology 74, no. 1 (2020): 122–34. http://dx.doi.org/10.1177/1747021820963033.

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Does the speed of single-item recognition errors predict performance in subsequent two-alternative forced-choice (2AFC) trials that include an item with a previous error response? Starns, Dubé, and Frelinger found effects of this kind in two experiments and accounted for them in terms of continuous memory-strength signal guiding recognition decisions. However, the effects of error speed might just as well only reflect an artefact due to an error-correction strategy that uses response latency as a heuristic cue to guide 2AFC responses, elicited through confounding factors in their experimental
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13

Philpott, M. L., and P. A. Green. "An Error Compensation Strategy for Replication by Rapid Prototyping." Journal of Engineering for Industry 117, no. 3 (1995): 423–29. http://dx.doi.org/10.1115/1.2804350.

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A generic closed-loop strategy for error compensation is presented which extracts and mathematically models the geometry of sculptured artifacts, and compensates for cumulative error build-up during replication. Experimental results using this strategy demonstrate that a considerable improvement in the accuracy of the end product can be achieved. The replication process involves scanning, CAD solid model creation, rapid prototyping utilizing the stereolithography process, the production of room temperature vulcanized (RTV) molds, the casting of polyurethane parts from the RTV mold, abrasive fi
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14

Kunkel, Thomas A., Katarzyna Bebenek, John D. Roberts, Mary P. Fitzgerald, and David C. Thomas. "Analysis of fidelity mechanisms with eukaryotic DNA replication and repair proteins." Genome 31, no. 1 (1989): 100–103. http://dx.doi.org/10.1139/g89-019.

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We are investigating the mechanisms for producing or avoiding errors during DNA synthesis catalyzed by DNA replication and repair proteins purified from eukaryotic sources. Using assays that monitor the fidelity of a single round of DNA synthesis in vitro, we have defined the error frequency and mutational specificity of the four classes of animal cell DNA polymerases (α, β, δ, γ), and the fidelity of an SV40 origin-dependent DNA replication complex in extracts of HeLa cells.Key words: error frequency, repair proteins, polymerases, mutational specificity, fidelity mechanisms.
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15

Herr, Alan J., Scott R. Kennedy, Gary M. Knowels, Eric M. Schultz, and Bradley D. Preston. "DNA Replication Error-Induced Extinction of Diploid Yeast." Genetics 196, no. 3 (2014): 677–91. http://dx.doi.org/10.1534/genetics.113.160960.

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16

Severson, William E., Connie S. Schmaljohn, Ali Javadian, and Colleen B. Jonsson. "Ribavirin Causes Error Catastrophe during Hantaan Virus Replication." Journal of Virology 77, no. 1 (2003): 481–88. http://dx.doi.org/10.1128/jvi.77.1.481-488.2003.

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ABSTRACT Except for ribavirin, no other antiviral drugs for treating hantaviral diseases have been identified. It is well established that ribavirin will inhibit the production of infectious Hantaan virus (HTNV); however, its mechanism of action is unknown. To characterize the inhibitory effect of ribavirin on HTNV, the levels of viral RNAs, proteins, and infectious particles were measured for 3 days posttreatment of HTNV-infected Vero E6 cells. HTNV-infected cells treated with ribavirin showed a slight reduction in the levels of cRNA, viral RNA, and mRNA populations on the first day postinfec
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17

Ninio, J. "Connections between translation, transcription and replication error-rates." Biochimie 73, no. 12 (1991): 1517–23. http://dx.doi.org/10.1016/0300-9084(91)90186-5.

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18

Niimi, Atsuko, Siripan Limsirichaikul, Shonen Yoshida та ін. "Palm Mutants in DNA Polymerases α and η Alter DNA Replication Fidelity and Translesion Activity". Molecular and Cellular Biology 24, № 7 (2004): 2734–46. http://dx.doi.org/10.1128/mcb.24.7.2734-2746.2004.

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ABSTRACT We isolated active mutants in Saccharomyces cerevisiae DNA polymerase α that were associated with a defect in error discrimination. Among them, L868F DNA polymerase α has a spontaneous error frequency of 3 in 100 nucleotides and 570-fold lower replication fidelity than wild-type (WT) polymerase α. In vivo, mutant DNA polymerases confer a mutator phenotype and are synergistic with msh2 or msh6, suggesting that DNA polymerase α-dependent replication errors are recognized and repaired by mismatch repair. In vitro, L868F DNA polymerase α catalyzes efficient bypass of a cis-syn cyclobutane
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19

Anselmann, Veronika, and Regina H. Mulder. "Learning from errors in insurance companies." Journal of Management Development 37, no. 2 (2018): 138–48. http://dx.doi.org/10.1108/jmd-06-2017-0211.

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Purpose The study pursues two goals: first, as a replication study, the purpose of this paper is to test a model of learning from errors in the domain of insurance industry. Second, to increase insights in learning from errors, the authors focussed on different types of errors. Design/methodology/approach The authors conducted a cross-sectional survey in the insurance industry (N=206). The authors used structural equation modelling and path modelling to analyse the data. To be able to analyse different types of errors, the authors used Critical Incident Technique and asked participants to desc
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20

Dafoe, Allan. "Science Deserves Better: The Imperative to Share Complete Replication Files." PS: Political Science & Politics 47, no. 01 (2013): 60–66. http://dx.doi.org/10.1017/s104909651300173x.

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In April 2013, a controversy arose when a working paper (Herndon, Ash, and Pollin 2013) claimed to show serious errors in a highly cited and influential economics paper by Carmen Reinhart and Kenneth Rogoff (2010). The Reinhart and Rogoff paper had come to serve as authoritative evidence in elite conversations (Krugman 2013) that high levels of debt, especially above the “90 percent [debt/GDP] threshold” (Reinhart and Rogoff 2010, 577), posed a risk to economic growth. Much of the coverage of this controversy focused on an error that was a “perfect made-for-TV mistake” (Stevenson and Wolfers 2
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21

Obermayer, Benedikt, and Erwin Frey. "Error thresholds for self- and cross-specific enzymatic replication." Journal of Theoretical Biology 267, no. 4 (2010): 653–62. http://dx.doi.org/10.1016/j.jtbi.2010.09.016.

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22

Dormann, Tanja, and Michael Frese. "Error training: Replication and the function of exploratory behavior." International Journal of Human-Computer Interaction 6, no. 4 (1994): 365–72. http://dx.doi.org/10.1080/10447319409526101.

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23

Scahill, Lawrence. "DSM-IV: Major Advance or Replication of an Error?" Journal of Child and Adolescent Psychiatric Nursing 8, no. 1 (1995): 3–4. http://dx.doi.org/10.1111/j.1744-6171.1995.tb00516.x.

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24

Buonsanti, Giovanni, Silvano Presciuttini, Paolo Radice, Marco A. Pierotti, Lucio Bertario, and Guglielmina N. Ranzani. "Rapid Assessment of Replication Error Phenotype in Gastric Cancer." Diagnostic Molecular Pathology 7, no. 3 (1998): 168–73. http://dx.doi.org/10.1097/00019606-199806000-00008.

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25

Yamamoto, Hiroyuki, Fumio Itoh, Masanobu Kusano, Yukinari Yoshida, Yuji Hinoda, and Kohzoh Imai. "Infrequent Inactivation ofDCCGene in Replication Error-Positive Colorectal Cancers." Biochemical and Biophysical Research Communications 244, no. 1 (1998): 204–9. http://dx.doi.org/10.1006/bbrc.1998.8242.

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26

Benachenhou, Nadia, Damian Labuda, and Daniel Sinnett. "Allelic instability ofTBP gene in replication error positive tumors." International Journal of Cancer 78, no. 4 (1998): 525–26. http://dx.doi.org/10.1002/(sici)1097-0215(19981109)78:4<525::aid-ijc21>3.0.co;2-3.

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27

&NA;. "MALI lymphomas commonly show microsatellite instability (replication error phenotype)." Advances in Anatomic Pathology 3, no. 5 (1996): 306. http://dx.doi.org/10.1097/00125480-199609000-00009.

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28

Konradsen, L., and Peter Magnusson. "Increased inversion angle replication error in functional ankle instability." Knee Surgery, Sports Traumatology, Arthroscopy 8, no. 4 (2000): 246–51. http://dx.doi.org/10.1007/s001670000124.

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29

Blastyák, András, Ildikó Hajdú, Ildikó Unk, and Lajos Haracska. "Role of Double-Stranded DNA Translocase Activity of Human HLTF in Replication of Damaged DNA." Molecular and Cellular Biology 30, no. 3 (2009): 684–93. http://dx.doi.org/10.1128/mcb.00863-09.

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ABSTRACT Unrepaired DNA lesions can block the progression of the replication fork, leading to genomic instability and cancer in higher-order eukaryotes. In Saccharomyces cerevisiae, replication through DNA lesions can be mediated by translesion synthesis DNA polymerases, leading to error-free or error-prone damage bypass, or by Rad5-mediated template switching to the sister chromatid that is inherently error free. While translesion synthesis pathways are highly conserved from yeast to humans, very little is known of a Rad5-like pathway in human cells. Here we show that a human homologue of Rad
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30

Leicher, Veronika, and Regina H. Mulder. "Individual and contextual factors influencing engagement in learning activities after errors at work." Journal of Workplace Learning 28, no. 2 (2016): 66–80. http://dx.doi.org/10.1108/jwl-03-2015-0022.

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Purpose – The purpose of this replication study is to identify relevant individual and contextual factors influencing learning from errors at work and to determine if the predictors for learning activities are the same for the domains of nursing and retail banking. Design/methodology/approach – A cross-sectional replication study was carried out in retail banking departments of a German bank. In a pre-study, interviews were conducted with experts (N = 4) of retail banking. The pre-study was necessary to develop vignettes describing authentic examples of error situations which were part of the
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31

Coiera, Enrico, and Huong Ly Tong. "Replication studies in the clinical decision support literature–frequency, fidelity, and impact." Journal of the American Medical Informatics Association 28, no. 9 (2021): 1815–25. http://dx.doi.org/10.1093/jamia/ocab049.

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Abstract Objective To assess the frequency, fidelity, and impact of replication studies in the clinical decision support system (CDSS) literature. Materials and Methods A PRISMA-compliant review identified CDSS replications across 28 health and biomedical informatics journals. Included articles were assessed for fidelity to the original study using 5 categories: Identical, Substitutable, In-class, Augmented, and Out-of-class; and 7 IMPISCO domains: Investigators (I), Method (M), Population (P), Intervention (I), Setting (S), Comparator (C), and Outcome (O). A fidelity score and heat map were g
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Fuchs, R. P. P., N. Koffel-Schwartz, S. Pelet, et al. "DNA polymerases II and V mediate respectively mutagenic (-2 frameshift) and error-free bypass of a single N-2-acetylaminofluorene adduct." Biochemical Society Transactions 29, no. 2 (2001): 191–95. http://dx.doi.org/10.1042/bst0290191.

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The Nar I sequence represents a strong mutation hot spot for - 2 frameshift mutations induced by N-2-acetylaminofluorene (AAF), a strong chemical carcinogen. Only when bound to the third (underlined) guanine (5′-GGCGCC → GGCC) can AAF trigger frameshift mutations, suggesting the involvement of a slipped replication intermediate with a two-nucleotide bulge. While base substitutions induced by UV light or abasic sites require DNA polymerase V (Pol V; umuDC), the AAF-induced - 2 frameshift pathway requires DNA polymerase II, the polB gene product. Interestingly, error-free bypass of the G-AAF add
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33

Domingo, Esteban, Carlos García-Crespo, Rebeca Lobo-Vega, and Celia Perales. "Mutation Rates, Mutation Frequencies, and Proofreading-Repair Activities in RNA Virus Genetics." Viruses 13, no. 9 (2021): 1882. http://dx.doi.org/10.3390/v13091882.

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The error rate displayed during template copying to produce viral RNA progeny is a biologically relevant parameter of the replication complexes of viruses. It has consequences for virus–host interactions, and it represents the first step in the diversification of viruses in nature. Measurements during infections and with purified viral polymerases indicate that mutation rates for RNA viruses are in the range of 10−3 to 10−6 copying errors per nucleotide incorporated into the nascent RNA product. Although viruses are thought to exploit high error rates for adaptation to changing environments, s
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34

Miller, Craig R., Paul Joyce, and Lisette P. Waits. "Assessing Allelic Dropout and Genotype Reliability Using Maximum Likelihood." Genetics 160, no. 1 (2002): 357–66. http://dx.doi.org/10.1093/genetics/160.1.357.

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Abstract A growing number of population genetic studies utilize nuclear DNA microsatellite data from museum specimens and noninvasive sources. Genotyping errors are elevated in these low quantity DNA sources, potentially compromising the power and accuracy of the data. The most conservative method for addressing this problem is effective, but requires extensive replication of individual genotypes. In search of a more efficient method, we developed a maximum-likelihood approach that minimizes errors by estimating genotype reliability and strategically directing replication at loci most likely t
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35

Fariss, Christopher J., and Zachary M. Jones. "Enhancing Validity in Observational Settings When Replication is Not Possible." Political Science Research and Methods 6, no. 2 (2017): 365–80. http://dx.doi.org/10.1017/psrm.2017.5.

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We argue that political sciexntists can provide additional evidence for the predictive validity of observational and quasi-experimental research designs by minimizing the expected prediction error or generalization error of their empirical models. For observational and quasi-experimental data not generated by a stochastic mechanism under the researcher’s control, the reproduction of statistical analyses is possible but replication of the data-generating procedures is not. Estimating the generalization error of a model for this type of data and then adjusting the model to minimize this estimate
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Steiner, Peter M., Vivian C. Wong, and Kylie Anglin. "A Causal Replication Framework for Designing and Assessing Replication Efforts." Zeitschrift für Psychologie 227, no. 4 (2019): 280–92. http://dx.doi.org/10.1027/2151-2604/a000385.

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Abstract. Replication has long been a cornerstone for establishing trustworthy scientific results, but there remains considerable disagreement about what constitutes a replication, how results from these studies should be interpreted, and whether direct replication of results is even possible. This article addresses these concerns by presenting the methodological foundations for a replication science. It provides an introduction to the causal replication framework, which defines “replication” as a research design that tests whether two (or more) studies produce the same causal effect within th
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Suzuki, Mitsuaki, Michitaka Ohwada, Yasushi Saga, Kazunori Ochiai, and Ikuo Sato. "DNA replication error is frequent in ovarian granulosa cell tumors." Cancer Genetics and Cytogenetics 122, no. 1 (2000): 55–58. http://dx.doi.org/10.1016/s0165-4608(00)00269-7.

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38

Kawanishi, M. "Allelotype and replication error phenotype of small cell lung carcinoma." Carcinogenesis 18, no. 11 (1997): 2057–62. http://dx.doi.org/10.1093/carcin/18.11.2057.

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39

Englisch, Uwe, Dieter Gauss, Wolfgang Freist, Sabine Englisch, Hans Sternbach, and Friedrich von der Haar. "Error Rates of the Replication and Expression of Genetic Information." Angewandte Chemie International Edition in English 24, no. 12 (1985): 1015–25. http://dx.doi.org/10.1002/anie.198510151.

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40

DAY, C., D. SMEE, J. JULANDER, V. YAMSHCHIKOV, R. SIDWELL, and J. MORREY. "Error-prone replication of West Nile virus caused by ribavirin." Antiviral Research 67, no. 1 (2005): 38–45. http://dx.doi.org/10.1016/j.antiviral.2005.04.002.

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Saputri, Ovi Delviyanti, Ferra Yanuar, and Dodi Devianto. "Simulation Study The Implementation of Quantile Bootstrap Method on Autocorrelated Error." CAUCHY 5, no. 3 (2018): 95. http://dx.doi.org/10.18860/ca.v5i3.5349.

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&lt;span lang="DE"&gt;Quantile regression is a regression method with the approach of separating or dividing data into certain quantiles by minimizing the number of absolute values from asymmetrical errors to overcome unfulfilled assumptions, including the presence of autocorrelation. The resulting model parameters are tested for accuracy using the bootstrap method. The bootstrap method is a parameter estimation method by re-sampling from the original sample as much as R replication. The bootstrap trust interval was then used as a test consistency test algorithm constructed on the estimator by
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Thomas, D. C., D. L. Svoboda, J. M. Vos, and T. A. Kunkel. "Strand specificity of mutagenic bypass replication of DNA containing psoralen monoadducts in a human cell extract." Molecular and Cellular Biology 16, no. 5 (1996): 2537–44. http://dx.doi.org/10.1128/mcb.16.5.2537.

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Psoralens are mutagenic compounds of vegetable origin that are used as photosensitizing agents in the treatment of various skin diseases, blood cell cancer, and autoimmune disorders. To study the mechanism of mutagenicity of psoralens in humans, we examined the efficiency and fidelity of simian virus 40 origin-dependent replication in a human cell extract of M13mp2 DNA randomly treated with the psoralen derivative 4'-hydroxymethyl-4,5',8-trimethyl psoralen plus UVA irradiation. Replication of DNA treated with variable amounts of 4'-hydroxymethyl-4,5',8-trimethyl psoralen and a fixed UVA fluenc
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Hood, Wendy R., Ashley S. Williams, and Geoffrey E. Hill. "An Ecologist’s Guide to Mitochondrial DNA Mutations and Senescence." Integrative and Comparative Biology 59, no. 4 (2019): 970–82. http://dx.doi.org/10.1093/icb/icz097.

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Abstract Longevity plays a key role in the fitness of organisms, so understanding the processes that underlie variance in senescence has long been a focus of ecologists and evolutionary biologists. For decades, the performance and ultimate decline of mitochondria have been implicated in the demise of somatic tissue, but exactly why mitochondrial function declines as individual’s age has remained elusive. A possible source of decline that has been of intense debate is mutations to the mitochondrial DNA. There are two primary sources of such mutations: oxidative damage, which is widely discussed
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Sale, Julian E., Christopher Batters, Charlotte E. Edmunds, Lara G. Phillips, Laura J. Simpson, and Dávid Szüts. "Timing matters: error-prone gap filling and translesion synthesis in immunoglobulin gene hypermutation." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1517 (2008): 595–603. http://dx.doi.org/10.1098/rstb.2008.0197.

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By temporarily deferring the repair of DNA lesions encountered during replication, the bypass of DNA damage is critical to the ability of cells to withstand genomic insults. Damage bypass can be achieved either by recombinational mechanisms that are generally accurate or by a process called translesion synthesis. Translesion synthesis involves replacing the stalled replicative polymerase with one of a number of specialized DNA polymerases whose active sites are able to tolerate a distorted or damaged DNA template. While this property allows the translesion polymerases to synthesize across dama
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Leung, Wendy, Ryan Baxley, George-Lucian Moldovan, and Anja-Katrin Bielinsky. "Mechanisms of DNA Damage Tolerance: Post-Translational Regulation of PCNA." Genes 10, no. 1 (2018): 10. http://dx.doi.org/10.3390/genes10010010.

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DNA damage is a constant source of stress challenging genomic integrity. To ensure faithful duplication of our genomes, mechanisms have evolved to deal with damage encountered during replication. One such mechanism is referred to as DNA damage tolerance (DDT). DDT allows for replication to continue in the presence of a DNA lesion by promoting damage bypass. Two major DDT pathways exist: error-prone translesion synthesis (TLS) and error-free template switching (TS). TLS recruits low-fidelity DNA polymerases to directly replicate across the damaged template, whereas TS uses the nascent sister ch
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Tupper, Andrew S., and Paul G. Higgs. "Error thresholds for RNA replication in the presence of both point mutations and premature termination errors." Journal of Theoretical Biology 428 (September 2017): 34–42. http://dx.doi.org/10.1016/j.jtbi.2017.05.037.

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Pan, Wei-Fong, and Ting Li. "The Measurement of Tracking Errors of Gold ETFS: Evidence from China." Applied Finance Letters 5, no. 1 (2016): 2. http://dx.doi.org/10.24135/afl.v5i1.31.

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This paper presents the first study on the measurement of tracking errorsusing daily figures for gold exchange-traded funds (ETFs) in China. Threemethods are employed to measure tracking errors: 1) calculating theabsolute error measure, 2) calculating the differences between thestandard deviation of the benchmark index and the ETF, and 3) aregression analysis of empirical returns. In general, the results suggest thatthe tracking errors of these ETFs in China are lower than those of equitybasedETFs in Hong Kong, the US, and Australia. This study further appliedtwo optimised replication portfoli
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48

Knutson, E. O. "The OECD/CEC Radon Measurements Intercomparison: A Further Analysis of the Results." Radiation Protection Dosimetry 24, no. 1-4 (1988): 277–80. http://dx.doi.org/10.1093/oxfordjournals.rpd.a080286.

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Abstract Further analyses were performed on the data obtained from the International Intercalibration and Intercomparison Programme for Radon, Thoron and Daughters Measuring Equipment, Part I - Radon Measurement. This project is sponsored jointly by the Nuclear Energy Agency of the Organisation for Economic Cooperation and Development, and the Radiation Protection Research Programme of the Commission of European Communities. In the report for Part I, conclusions were based primarily on the analysis of variance method, comparing within-laboratory (replication) errors to between-laboratory error
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Chacón, Edixon, Jesús M. Alvarado, and Carmen Santisteban. "A Simulation Procedure for the Generation of Samples to Evaluate Goodness of Fit Indices in Item Response Theory Models." Methodology 7, no. 2 (2011): 56–62. http://dx.doi.org/10.1027/1614-2241/a000022.

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The LISREL8.8/PRELIS2.81 program can carry out ordinal factorial analysis (OFA command), with full information maximum likelihood methods, in a data set containing n samples obtained by simulation. Nevertheless, when the replication number is greater than 1, an error command is produced, which impedes reaching solutions that can execute normal (NOR) and logistic (POM) functions. This paper proposes a new procedure of data simulation in PRELIS-LISREL. This procedure permits the generation of n replications and the calculation of the goodness of fit (GOF) indices in the item response theory (IRT
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Wilhelm, Therese, Maha Said, and Valeria Naim. "DNA Replication Stress and Chromosomal Instability: Dangerous Liaisons." Genes 11, no. 6 (2020): 642. http://dx.doi.org/10.3390/genes11060642.

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Chromosomal instability (CIN) is associated with many human diseases, including neurodevelopmental or neurodegenerative conditions, age-related disorders and cancer, and is a key driver for disease initiation and progression. A major source of structural chromosome instability (s-CIN) leading to structural chromosome aberrations is “replication stress”, a condition in which stalled or slowly progressing replication forks interfere with timely and error-free completion of the S phase. On the other hand, mitotic errors that result in chromosome mis-segregation are the cause of numerical chromoso
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