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Artykuły w czasopismach na temat "Genetic methods for resistance detection"
SUNDSFJORD, ARNFINN, GUNNAR S. SIMONSEN, BJORG C. HALDORSEN, HAKON HAAHEIM, STIG-OVE HJELMEVOLL, PIA LITTAUER i KRISTIN H. DAHL. "Genetic methods for detection of antimicrobial resistance". APMIS 112, nr 11-12 (grudzień 2004): 815–37. http://dx.doi.org/10.1111/j.1600-0463.2004.apm11211-1208.x.
Pełny tekst źródłaGolovnin, A. V., A. L. Khanin i V. I. Golovnin. "THE SURGICAL STAGE OF PULMONARY TUBERCULOSIS TREATMENT USING MOLECULAR-GENETIC METHODS TO TEST SUSCEPTIBILITY TO RIFAMPICIN". Tuberculosis and Lung Diseases 97, nr 3 (3.04.2019): 31–34. http://dx.doi.org/10.21292/2075-1230-2019-97-3-31-34.
Pełny tekst źródłaChroma, Magdalena, i Milan Kolar. "GENETIC METHODS FOR DETECTION OF ANTIBIOTIC RESISTANCE: FOCUS ON EXTENDED-SPECTRUM β-LACTAMASES". Biomedical Papers 154, nr 4 (1.12.2010): 289–96. http://dx.doi.org/10.5507/bp.2010.044.
Pełny tekst źródłaSHAMPUTA, I. C., L. RIGOUTS AND i F. PORTAELS. "Molecular genetic methods for diagnosis and antibiotic resistance detection of mycobacteria from clinical specimens". APMIS 112, nr 11-12 (grudzień 2004): 728–52. http://dx.doi.org/10.1111/j.1600-0463.2004.apm11211-1203.x.
Pełny tekst źródłaEliseev, P. I., I. V. Tarasova i 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, nr 4 (16.01.2019): 567–68. http://dx.doi.org/10.15789/2220-7619-2018-4-6.14.
Pełny tekst źródłaKolbert, C. P., J. Arruda, P. Varga-Delmore, X. Zheng, M. Lewis, J. Kolberg i D. H. Persing. "Branched-DNA Assay for Detection of themecA Gene in Oxacillin-Resistant and Oxacillin-Sensitive Staphylococci". Journal of Clinical Microbiology 36, nr 9 (1998): 2640–44. http://dx.doi.org/10.1128/jcm.36.9.2640-2644.1998.
Pełny tekst źródłaBEECH, R. N., P. SKUCE, D. J. BARTLEY, R. J. MARTIN, R. K. PRICHARD i J. S. GILLEARD. "Anthelmintic resistance: markers for resistance, or susceptibility?" Parasitology 138, nr 2 (9.09.2010): 160–74. http://dx.doi.org/10.1017/s0031182010001198.
Pełny tekst źródłaTsarev, V. N., E. V. Ippolitov i 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, nr 2 (28.04.2017): 74–80. http://dx.doi.org/10.36233/0372-9311-2017-2-74-80.
Pełny tekst źródłaBhattacharyya, Roby, Jamin Liu, Peijun Ma, Nirmalya Bandyopadhyay, Jonathan Livny i 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.
Pełny tekst źródłaGupta, Gunjan, Vibhor Tak i Purva Mathur. "Detection of AmpC β Lactamases in Gram-negative Bacteria". Journal of Laboratory Physicians 6, nr 01 (styczeń 2014): 001–6. http://dx.doi.org/10.4103/0974-2727.129082.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaThomas, Lee. "Genetic methods for Rapid Detection of Medically Important Nosocomial Bactera". University of Sydney, 2007. http://hdl.handle.net/2123/3575.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaThomas, Lee Carolyn. "Genetic methods for rapid detection of medically important nosocomial bacteria". Connect to full text, 2007. http://hdl.handle.net/2123/3575.
Pełny tekst źródłaTitle 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.
Pełny tekst źródłaRecent 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.
Pełny tekst źródłaUygun, 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.
Pełny tekst źródłaPecetti, 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.
Pełny tekst źródłaJurstrand, 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.
Pełny tekst źródłaTreuerne, Balazs Krisztina Eszter. "Methods for the surveillance of urgent drug-resistant bacterial threats". Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24498.
Pełny tekst źródłaKsiążki na temat "Genetic methods for resistance detection"
RNA detection and visualization: Methods and protocols. New York: Humana, 2011.
Znajdź pełny tekst źródłaLupi, Claudio. Genetic engineering for plant protection: Methods, state of the art and applications. Basel: BATS, 1995.
Znajdź pełny tekst źródła1948-, Luciw Paul A., i Steimer Kathelyn Sue 1948-, red. HIV detection by genetic engineering methods. New York: Dekker, 1989.
Znajdź pełny tekst źródłaGerst, Jeffrey E. RNA Detection and Visualization: Methods and Protocols. Humana Press, 2016.
Znajdź pełny tekst źródłaAli, Akhtar, Bright Agindotan, Xifeng Wang, Rajarshi Kumar Gaur, Xiaofei Cheng i Kristiina Mäkinen, red. 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.
Pełny tekst źródłaHeller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley-VCH, 2003.
Znajdź pełny tekst źródłaHeller, Knut J. Genetically Engineered Food: Methods and Detection. Wyd. 2. Wiley-VCH, 2007.
Znajdź pełny tekst źródłaHeinz, Hecker Karl, red. Genetic variance detection: Technologies for pharmacogenomics. [Eagleville, Pa.]: DNA Press, 2005.
Znajdź pełny tekst źródłaGenomic 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.
Znajdź pełny tekst źródłaHeller, Knut J. Genetically Engineered Food: Methods and Detection. Wiley & Sons, Limited, John, 2006.
Znajdź pełny tekst źródłaCzęści książek na temat "Genetic methods for resistance detection"
Jankowicz-Cieslak, Joanna, Ivan L. Ingelbrecht i Bradley J. Till. "Mutation Detection in Gamma-Irradiated Banana Using Low Coverage Copy Number Variation". W 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.
Pełny tekst źródłaAlexander, H. M., i P. J. Bramel-Cox. "Sustainability of Genetic Resistance". W 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.
Pełny tekst źródłaPosteraro, Brunella, Antonietta Vella, Elena De Carolis i Maurizio Sanguinetti. "Molecular Detection of Resistance to Echinocandins". W 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.
Pełny tekst źródłaLan, Caixia, Mandeep Singh Randhawa, Julio Huerta-Espino i Ravi P. Singh. "Genetic Analysis of Resistance to Wheat Rusts". W 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.
Pełny tekst źródłaBruenn, Jeremy. "Novel Methods of Introducing Pest and Disease Resistance to Crop Plants". W Genetic Engineering, 11–22. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4199-8_2.
Pełny tekst źródłaArunkumar, C. G., K. S. Jagadish i T. D. Nidheesh. "Genetic Tools for Insecticide Resistance Management". W 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.
Pełny tekst źródłaPosteraro, Brunella, Antonietta Vella, Elena De Carolis i Maurizio Sanguinetti. "Molecular Detection of Resistance to Azole Components". W 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.
Pełny tekst źródłaMaslov, Sergei, i Kim Sneppen. "Detection of Topological Patterns in Protein Networks". W Genetic Engineering: Principles and Methods, 33–47. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48573-2_4.
Pełny tekst źródłaAnjum, Muna F., Ea Zankari i Henrik Hasman. "Molecular Methods for Detection of Antimicrobial Resistance". W 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.
Pełny tekst źródłaAarts, Henk J. M., Beatriz Guerra i Burkhard Malorny. "Molecular Methods for Detection of Antibiotic Resistance". W Antimicrobial Resistance in Bacteria of Animal Origin, 37–48. Washington, DC, USA: ASM Press, 2019. http://dx.doi.org/10.1128/9781555817534.ch4.
Pełny tekst źródłaStreszczenia konferencji na temat "Genetic methods for resistance detection"
Mital, Manu, i E. P. Scott. "Thermal Detection of Embedded Tumors Using Infrared Imaging". W ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-62260.
Pełny tekst źródłaRamirez, Abelardo, William Daily, Andrew Binley i Douglas LaBrecque. "Tank Leak Detection Using Electrical Resistance Methods". W 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.
Pełny tekst źródłaRamirez, Abelardo, William Daily, Andrew Binley i Douglas LaBrecque. "Tank Leak Detection Using Electrical Resistance Methods". W 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.
Pełny tekst źródła"Molecular genetic methods for assessing drought resistance of spring barley". W Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-142.
Pełny tekst źródłaPizzuti, Clara, i Annalisa Socievole. "An Effective Resistance based Genetic Algorithm for Community Detection". W 13th International Conference on Evolutionary Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010644300003063.
Pełny tekst źródłaMitina, Irina, Aighiuni Bahsiev, Valentin Mitin i Irina Zamorzaeva. "QPCR detection and quantification of ‘Candidatus phytoplasma solani’ in tomato with primers targeting CPN60 gene". W 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.
Pełny tekst źródłaGreco, Annalisa, Francesco Cannizzaro i Alessandro Pluchino. "ON THE USE OF GENETIC ALGORITHMS TO ASSESS THE SEISMIC RESISTANCE OF PLANAR FRAME STRUCTURES". W 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.
Pełny tekst źródłaHauptman, Ami. "Are Evolutionary Computation-Based Methods Comparable to State-of-the-art non-Evolutionary Methods for Community Detection?" W GECCO '16: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2908961.2931643.
Pełny tekst źródłaAlwan, Salwan, Jean-Marc Caillec i Gerard Meur. "Detection of Primitives in Engineering Drawing using Genetic Algorithm". W 8th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007248802770282.
Pełny tekst źródłaDobos, Daniel, Tien Thanh Nguyen, John McCall, Allan Wilson, Phil Stockton i Helen Corbett. "Weighted ensemble of gross error detection methods based on particle swarm optimization". W GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449726.3459415.
Pełny tekst źródłaRaporty organizacyjne na temat "Genetic methods for resistance detection"
Levisohn, Sharon, Mark Jackwood i Stanley Kleven. New Approaches for Detection of Mycoplasma iowae Infection in Turkeys. United States Department of Agriculture, luty 1995. http://dx.doi.org/10.32747/1995.7612834.bard.
Pełny tekst źródłaSlezak, T., R. Lenhoff, J. Allen, M. Borucki, E. Vitalis i S. Gardner. TMTI Task 1.6 Genetic Engineering Methods and Detection. Office of Scientific and Technical Information (OSTI), grudzień 2009. http://dx.doi.org/10.2172/972121.
Pełny tekst źródłaJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset i 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, czerwiec 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
Pełny tekst źródłaHovav, Ran, Peggy Ozias-Akins i Scott A. Jackson. The genetics of pod-filling in peanut under water-limiting conditions. United States Department of Agriculture, styczeń 2012. http://dx.doi.org/10.32747/2012.7597923.bard.
Pełny tekst źródłaRamirez, A., i W. Daily. Detection of leaks in underground storage tanks using electrical resistance methods: 1996 results. Office of Scientific and Technical Information (OSTI), październik 1996. http://dx.doi.org/10.2172/479070.
Pełny tekst źródłaWisniewski, Michael E., Samir Droby, John L. Norelli, Noa Sela i 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, styczeń 2014. http://dx.doi.org/10.32747/2014.7600013.bard.
Pełny tekst źródłaSessa, Guido, i Gregory Martin. MAP kinase cascades activated by SlMAPKKKε and their involvement in tomato resistance to bacterial pathogens. United States Department of Agriculture, styczeń 2012. http://dx.doi.org/10.32747/2012.7699834.bard.
Pełny tekst źródłaSessa, Guido, i Gregory B. Martin. molecular link from PAMP perception to a MAPK cascade associated with tomato disease resistance. United States Department of Agriculture, styczeń 2012. http://dx.doi.org/10.32747/2012.7597918.bard.
Pełny tekst źródłaSela, Hanan, Eduard Akhunov i 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, styczeń 2014. http://dx.doi.org/10.32747/2014.7598170.bard.
Pełny tekst źródłaBreiman, Adina, Jan Dvorak, Abraham Korol i 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, grudzień 2011. http://dx.doi.org/10.32747/2011.7697121.bard.
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