Academic literature on the topic 'Genetic methods for resistance detection'
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Journal articles on the topic "Genetic methods for resistance detection"
SUNDSFJORD, ARNFINN, GUNNAR S. SIMONSEN, BJORG C. HALDORSEN, HAKON HAAHEIM, STIG-OVE HJELMEVOLL, PIA LITTAUER, and KRISTIN H. DAHL. "Genetic methods for detection of antimicrobial resistance." APMIS 112, no. 11-12 (December 2004): 815–37. http://dx.doi.org/10.1111/j.1600-0463.2004.apm11211-1208.x.
Full textGolovnin, A. V., A. L. Khanin, and V. I. Golovnin. "THE SURGICAL STAGE OF PULMONARY TUBERCULOSIS TREATMENT USING MOLECULAR-GENETIC METHODS TO TEST SUSCEPTIBILITY TO RIFAMPICIN." Tuberculosis and Lung Diseases 97, no. 3 (April 3, 2019): 31–34. http://dx.doi.org/10.21292/2075-1230-2019-97-3-31-34.
Full textChroma, Magdalena, and Milan Kolar. "GENETIC METHODS FOR DETECTION OF ANTIBIOTIC RESISTANCE: FOCUS ON EXTENDED-SPECTRUM β-LACTAMASES." Biomedical Papers 154, no. 4 (December 1, 2010): 289–96. http://dx.doi.org/10.5507/bp.2010.044.
Full textSHAMPUTA, I. C., L. RIGOUTS AND, and F. PORTAELS. "Molecular genetic methods for diagnosis and antibiotic resistance detection of mycobacteria from clinical specimens." APMIS 112, no. 11-12 (December 2004): 728–52. http://dx.doi.org/10.1111/j.1600-0463.2004.apm11211-1203.x.
Full textEliseev, P. I., I. V. Tarasova, and A. O. Mariandyshev. "MOLECULAR-GENETIC METHODS OF DETECTION OF TUBERCULOSIS AND ITS DRUG RESISTANCE IN ARKHANGELSK REGION IN 2017." Russian Journal of Infection and Immunity 8, no. 4 (January 16, 2019): 567–68. http://dx.doi.org/10.15789/2220-7619-2018-4-6.14.
Full textKolbert, C. P., J. Arruda, P. Varga-Delmore, X. Zheng, M. Lewis, J. Kolberg, and D. H. Persing. "Branched-DNA Assay for Detection of themecA Gene in Oxacillin-Resistant and Oxacillin-Sensitive Staphylococci." Journal of Clinical Microbiology 36, no. 9 (1998): 2640–44. http://dx.doi.org/10.1128/jcm.36.9.2640-2644.1998.
Full textBEECH, R. N., P. SKUCE, D. J. BARTLEY, R. J. MARTIN, R. K. PRICHARD, and J. S. GILLEARD. "Anthelmintic resistance: markers for resistance, or susceptibility?" Parasitology 138, no. 2 (September 9, 2010): 160–74. http://dx.doi.org/10.1017/s0031182010001198.
Full textTsarev, V. N., E. V. Ippolitov, and E. N. Nikolaeva. "PREVALENCE OF GENETIC MARKERS OF RESISTANCE TO ANTIBIOTICS IN BIOFILM-FORMING STRAINS OF OBLIGATE AND ELECTIVE ANAEROBES." Journal of microbiology epidemiology immunobiology, no. 2 (April 28, 2017): 74–80. http://dx.doi.org/10.36233/0372-9311-2017-2-74-80.
Full textBhattacharyya, Roby, Jamin Liu, Peijun Ma, Nirmalya Bandyopadhyay, Jonathan Livny, and Deborah Hung. "Rapid Phenotypic Antibiotic Susceptibility Testing Through RNA Detection." Open Forum Infectious Diseases 4, suppl_1 (2017): S33. http://dx.doi.org/10.1093/ofid/ofx162.082.
Full textGupta, Gunjan, Vibhor Tak, and Purva Mathur. "Detection of AmpC β Lactamases in Gram-negative Bacteria." Journal of Laboratory Physicians 6, no. 01 (January 2014): 001–6. http://dx.doi.org/10.4103/0974-2727.129082.
Full textDissertations / Theses on the topic "Genetic methods for resistance detection"
Thomas, Lee. "Genetic methods for Rapid Detection of Medically Important Nosocomial Bactera." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/3575.
Full textThomas, Lee. "Genetic methods for Rapid Detection of Medically Important Nosocomial Bactera." University of Sydney, 2007. http://hdl.handle.net/2123/3575.
Full textThe role of the microbiology laboratory is (1) to provide infection control information, so that highly transmissible isolates may be identified and appropriate control measures instigated as rapidly as possible and (2) to provide adequate information to the clinician enabling correct antibiotic choices to be made, particularly in the critically ill. Microbiological data is by definition slow as it is culture dependent: this study focused on the development of genetic, culture-independent methods for detection of resistance in nosocomial pathogens that could be introduced into the routine microbiology department and would fit into the routine workflow with a consequent reduction in time to result. Initially a duplex real-time polymerase chain reaction was developed for the rapid identification and detection of S. aureus and methicillin-resistance. This was optimised for immediate as-needs testing of positive blood cultures signalling with “Gram positive cocci, possibly staphylococcus” evident on Gram stain, on a random access real-time PCR platform. This technology, allowing early identification of S. aureus and its susceptibility to methicillin, by simple automated methodology, may soon become the standard for all microbiology laboratories servicing the critically ill. The second part of the study involved the development of a selective broth and multiplex PCR for detection of three important nosocomial isolates at this institution, methicillin-resistant S. aureus (MRSA), carbapenem-resistant Enterobacteriaceae, and multi-resistant Acinetobacter baumannii (MRAB). A multiplex PCR using four primer sets was designed to detect low colonisation levels of these isolates after overnight incubation in selective broth, significantly reducing the time to result and associated costs. This potentially useful epidemiological screening tool is practical, reproducible and sensitive with the potential of moving to an automated test (using real-time PCR, for example) in the future. The availability of early negative results judged by simple visual scanning (or by densitometry), means that the result is less operator-dependent, potentially reducing error rate. The last part of the study dealt with an important resistance phenotype, aminoglycoside resistance. There had been no recent comprehensive local surveys performed to determine the frequency of aminoglycoside resistance amongst the Enterobacteriaceae, or to identify the genetic determinants and their transmissibility. The isolates collected for the study were all resistant to at least one of gentamicin, tobramycin or amikacin. Identification of integron cassette arrays and use of specific internal primers identified at least one genetic determinant for gentamicin and tobramycin resistance in 22 of 23 isolates. Three isolates had two aminoglycoside resistance genes, and three isolates had three aminoglycoside resistance genes identified (Table 6.1). Transferable gentamicin-resistant plasmids were predominant amongst Klebsiella spp., but less so amongst Enterobacter spp. and E. coli. Gentamicin-resistant Klebsiella spp. were often ESBL positive, the genetic determinants of which were typically co-transferred on a conjugative plasmid. The importance of screening at a local level was demonstrated by the unexpected predominance of aac(6')-IIc amongst Enterobacter spp. and the detection of a new gene (aac(6')-LT). This part of the study has provided an understanding of the primary aminoglycoside resistance genes present in the local setting and their association with other resistances. This knowledge will allow development of assays for patient screening (clinical isolates and colonising flora), to better understand the epidemiology of aminoglycoside resistance and to allow better choice of antibiotic therapy related to presence or absence of these genes.
Robberts, Frans Jacob Lourens. "Genetic investigations of pneumocystis jirovecii : detection, cotrimoxazole resistance and population structure." Thesis, Link to the online version, 2005. http://hdl.handle.net/10019.1/1304.
Full textThomas, Lee Carolyn. "Genetic methods for rapid detection of medically important nosocomial bacteria." Connect to full text, 2007. http://hdl.handle.net/2123/3575.
Full textTitle from title screen (viewed 15 October 2008). Submitted in fulfilment of the requirements for the degree of Master of Science in Medicine to the Discipline of Medicine, Faculty of Medicine. Includes bibliographical references. Also available in print form.
Cohen, Joseph Paul. "Crater detection via genetic search methods to reduce image features." Thesis, University of Massachusetts Boston, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1550596.
Full textRecent approaches to crater detection have been inspired by face detection's use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousands of numerical values from each candidate crater image. This magnitude of image features to extract and consider can spell disaster when the application is an entire planetary surface. One solution is to reduce the number of features extracted and considered in order to increase accuracy as well as speed. Feature subset selection provides the operational classifiers with a concise and denoised set of features by reducing irrelevant and redundant features. Feature subset selection is known to be NP-hard. To provide an efficient suboptimal solution, four genetic algorithms are proposed to use greedy selection, weighted random selection, and simulated annealing to distinguish discriminate features from indiscriminate features. Inspired by analysis regarding the relationship between subset size and accuracy, a squeezing algorithm is presented to shrink the genetic algorithm's chromosome cardinality during the genetic iterations. A significant increase in the classification performance of a Bayesian classifier in crater detection using image texture features is observed.
Konstantinidis, Michalis. "Preimplantation genetic diagnosis : new methods for the detection of genetic abnormalities in human preimplantation embryos." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:28611f65-7729-4293-9c3f-4fc3f0cc39d7.
Full textUygun, Sahra. "Development Of Analysis Methods For Cry1ac And Sam-k Gene Lines In Tomato Using Pcr And Real-time Pcr." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611991/index.pdf.
Full textPecetti, Luciano. "Genetic resources and selection methods for drought and salinity resistance in durum wheat." Thesis, Bangor University, 1994. https://research.bangor.ac.uk/portal/en/theses/genetic-resources-and-selection-methods-for-drought-and-salinity-resistance-in-durum-wheat(119af68a-9751-4451-a54e-6c16fdb941ed).html.
Full textJurstrand, Margaretha. "Detection of Chlamydia trachomatis and Mycoplasma genitalium by genetic and serological methods." Doctoral thesis, Örebro : Universitetsbiblioteket : Örebro University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-793.
Full textTreuerne, Balazs Krisztina Eszter. "Methods for the surveillance of urgent drug-resistant bacterial threats." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24498.
Full textBooks on the topic "Genetic methods for resistance detection"
RNA detection and visualization: Methods and protocols. New York: Humana, 2011.
Find full textLupi, Claudio. Genetic engineering for plant protection: Methods, state of the art and applications. Basel: BATS, 1995.
Find full text1948-, Luciw Paul A., and Steimer Kathelyn Sue 1948-, eds. HIV detection by genetic engineering methods. New York: Dekker, 1989.
Find full textGerst, Jeffrey E. RNA Detection and Visualization: Methods and Protocols. Humana Press, 2016.
Find full textAli, Akhtar, Bright Agindotan, Xifeng Wang, Rajarshi Kumar Gaur, Xiaofei Cheng, and Kristiina Mäkinen, eds. Plant Viruses, Volume I: Detection Methods, Genetic Diversity and Evolution. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-129-8.
Full textHeller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley-VCH, 2003.
Find full textHeller, Knut J. Genetically Engineered Food: Methods and Detection. 2nd ed. Wiley-VCH, 2007.
Find full textHeinz, Hecker Karl, ed. Genetic variance detection: Technologies for pharmacogenomics. [Eagleville, Pa.]: DNA Press, 2005.
Find full textGenomic tests for ovarian cancer detection and management. Rockville, MD: U.S. Department of Health and Human Services, Public Health Service, Agency for Healthcare Research and Quality, 2006.
Find full textHeller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley & Sons, Limited, John, 2006.
Find full textBook chapters on the topic "Genetic methods for resistance detection"
Jankowicz-Cieslak, Joanna, Ivan L. Ingelbrecht, and Bradley J. Till. "Mutation Detection in Gamma-Irradiated Banana Using Low Coverage Copy Number Variation." In Efficient Screening Techniques to Identify Mutants with TR4 Resistance in Banana, 113–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64915-2_8.
Full textAlexander, H. M., and P. J. Bramel-Cox. "Sustainability of Genetic Resistance." In Plant Breeding and Sustainable Agriculture: Considerations for Objectives and Methods, 11–27. Madison, WI, USA: Crop Science Society of America and American Society of Agronomy, 2015. http://dx.doi.org/10.2135/cssaspecpub18.c2.
Full textPosteraro, Brunella, Antonietta Vella, Elena De Carolis, and Maurizio Sanguinetti. "Molecular Detection of Resistance to Echinocandins." In Methods in Molecular Biology, 413–21. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6515-1_23.
Full textLan, Caixia, Mandeep Singh Randhawa, Julio Huerta-Espino, and Ravi P. Singh. "Genetic Analysis of Resistance to Wheat Rusts." In Methods in Molecular Biology, 137–49. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7249-4_12.
Full textBruenn, Jeremy. "Novel Methods of Introducing Pest and Disease Resistance to Crop Plants." In Genetic Engineering, 11–22. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4199-8_2.
Full textArunkumar, C. G., K. S. Jagadish, and T. D. Nidheesh. "Genetic Tools for Insecticide Resistance Management." In Genetic Methods and Tools for Managing Crop Pests, 569–77. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0264-2_23.
Full textPosteraro, Brunella, Antonietta Vella, Elena De Carolis, and Maurizio Sanguinetti. "Molecular Detection of Resistance to Azole Components." In Methods in Molecular Biology, 423–35. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6515-1_24.
Full textMaslov, Sergei, and Kim Sneppen. "Detection of Topological Patterns in Protein Networks." In Genetic Engineering: Principles and Methods, 33–47. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48573-2_4.
Full textAnjum, Muna F., Ea Zankari, and Henrik Hasman. "Molecular Methods for Detection of Antimicrobial Resistance." In Antimicrobial Resistance in Bacteria from Livestock and Companion Animals, 33–50. Washington, DC, USA: ASM Press, 2018. http://dx.doi.org/10.1128/9781555819804.ch3.
Full textAarts, Henk J. M., Beatriz Guerra, and Burkhard Malorny. "Molecular Methods for Detection of Antibiotic Resistance." In Antimicrobial Resistance in Bacteria of Animal Origin, 37–48. Washington, DC, USA: ASM Press, 2019. http://dx.doi.org/10.1128/9781555817534.ch4.
Full textConference papers on the topic "Genetic methods for resistance detection"
Mital, Manu, and E. P. Scott. "Thermal Detection of Embedded Tumors Using Infrared Imaging." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-62260.
Full textRamirez, Abelardo, William Daily, Andrew Binley, and Douglas LaBrecque. "Tank Leak Detection Using Electrical Resistance Methods." In 9th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 1996. http://dx.doi.org/10.3997/2214-4609-pdb.205.1996_083.
Full textRamirez, Abelardo, William Daily, Andrew Binley, and Douglas LaBrecque. "Tank Leak Detection Using Electrical Resistance Methods." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1996. Environment and Engineering Geophysical Society, 1996. http://dx.doi.org/10.4133/1.2922341.
Full text"Molecular genetic methods for assessing drought resistance of spring barley." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-142.
Full textPizzuti, Clara, and Annalisa Socievole. "An Effective Resistance based Genetic Algorithm for Community Detection." In 13th International Conference on Evolutionary Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010644300003063.
Full textMitina, Irina, Aighiuni Bahsiev, Valentin Mitin, and Irina Zamorzaeva. "QPCR detection and quantification of ‘Candidatus phytoplasma solani’ in tomato with primers targeting CPN60 gene." In VIIth International Scientific Conference “Genetics, Physiology and Plant Breeding”. Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2021. http://dx.doi.org/10.53040/gppb7.2021.20.
Full textGreco, Annalisa, Francesco Cannizzaro, and Alessandro Pluchino. "ON THE USE OF GENETIC ALGORITHMS TO ASSESS THE SEISMIC RESISTANCE OF PLANAR FRAME STRUCTURES." In 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120117.5706.18227.
Full textHauptman, Ami. "Are Evolutionary Computation-Based Methods Comparable to State-of-the-art non-Evolutionary Methods for Community Detection?" In GECCO '16: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2908961.2931643.
Full textAlwan, Salwan, Jean-Marc Caillec, and Gerard Meur. "Detection of Primitives in Engineering Drawing using Genetic Algorithm." In 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007248802770282.
Full textDobos, Daniel, Tien Thanh Nguyen, John McCall, Allan Wilson, Phil Stockton, and Helen Corbett. "Weighted ensemble of gross error detection methods based on particle swarm optimization." In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449726.3459415.
Full textReports on the topic "Genetic methods for resistance detection"
Levisohn, Sharon, Mark Jackwood, and Stanley Kleven. New Approaches for Detection of Mycoplasma iowae Infection in Turkeys. United States Department of Agriculture, February 1995. http://dx.doi.org/10.32747/1995.7612834.bard.
Full textSlezak, T., R. Lenhoff, J. Allen, M. Borucki, E. Vitalis, and S. Gardner. TMTI Task 1.6 Genetic Engineering Methods and Detection. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/972121.
Full textJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset, and Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
Full textHovav, Ran, Peggy Ozias-Akins, and Scott A. Jackson. The genetics of pod-filling in peanut under water-limiting conditions. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7597923.bard.
Full textRamirez, A., and W. Daily. Detection of leaks in underground storage tanks using electrical resistance methods: 1996 results. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/479070.
Full textWisniewski, Michael E., Samir Droby, John L. Norelli, Noa Sela, and Elena Levin. Genetic and transcriptomic analysis of postharvest decay resistance in Malus sieversii and the characterization of pathogenicity effectors in Penicillium expansum. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600013.bard.
Full textSessa, Guido, and Gregory Martin. MAP kinase cascades activated by SlMAPKKKε and their involvement in tomato resistance to bacterial pathogens. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7699834.bard.
Full textSessa, Guido, and Gregory B. Martin. molecular link from PAMP perception to a MAPK cascade associated with tomato disease resistance. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7597918.bard.
Full textSela, Hanan, Eduard Akhunov, and Brian J. Steffenson. Population genomics, linkage disequilibrium and association mapping of stripe rust resistance genes in wild emmer wheat, Triticum turgidum ssp. dicoccoides. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598170.bard.
Full textBreiman, Adina, Jan Dvorak, Abraham Korol, and Eduard Akhunov. Population Genomics and Association Mapping of Disease Resistance Genes in Israeli Populations of Wild Relatives of Wheat, Triticum dicoccoides and Aegilops speltoides. United States Department of Agriculture, December 2011. http://dx.doi.org/10.32747/2011.7697121.bard.
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