Relevant bibliographies by topics / Genomic DNA detection

Contents

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

Academic literature on the topic 'Genomic DNA detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Genomic DNA detection"

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Bart, A. "Direct detection of methylation in genomic DNA." Nucleic Acids Research 33, no. 14 (August 2, 2005): e124-e124. http://dx.doi.org/10.1093/nar/gni121.

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Békési, Angéla, Eszter Holub, Hajnalka Laura Pálinkás, and Beáta G. Vértessy. "Detection of Genomic Uracil Patterns." International Journal of Molecular Sciences 22, no. 8 (April 9, 2021): 3902. http://dx.doi.org/10.3390/ijms22083902.

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The appearance of uracil in the deoxyuridine moiety of DNA is among the most frequently occurring genomic modifications. Three different routes can result in genomic uracil, two of which do not require specific enzymes: spontaneous cytosine deamination due to the inherent chemical reactivity of living cells, and thymine-replacing incorporation upon nucleotide pool imbalances. There is also an enzymatic pathway of cytosine deamination with multiple DNA (cytosine) deaminases involved in this process. In order to describe potential roles of genomic uracil, it is of key importance to utilize efficient uracil-DNA detection methods. In this review, we provide a comprehensive and critical assessment of currently available uracil detection methods with special focus on genome-wide mapping solutions. Recent developments in PCR-based and in situ detection as well as the quantitation of genomic uracil are also discussed.
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Calcino, Andrew D., Nathan J. Kenny, and Marco Gerdol. "Single individual structural variant detection uncovers widespread hemizygosity in molluscs." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1825 (April 5, 2021): 20200153. http://dx.doi.org/10.1098/rstb.2020.0153.

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The advent of complete genomic sequencing has opened a window into genomic phenomena obscured by fragmented assemblies. A good example of these is the existence of hemizygous regions of autosomal chromosomes, which can result in marked differences in gene content between individuals within species. While these hemizygous regions, and presence/absence variation of genes that can result, are well known in plants, firm evidence has only recently emerged for their existence in metazoans. Here, we use recently published, complete genomes from wild-caught molluscs to investigate the prevalence of hemizygosity across a well-known and ecologically important clade. We show that hemizygous regions are widespread in mollusc genomes, not clustered in individual chromosomes, and often contain genes linked to transposition, DNA repair and stress response. With targeted investigations of HSP70-12 and C1qDC , we also show how individual gene families are distributed within pan-genomes. This work suggests that extensive pan-genomes are widespread across the conchiferan Mollusca, and represent useful tools for genomic evolution, allowing the maintenance of additional genetic diversity within the population. As genomic sequencing and re-sequencing becomes more routine, the prevalence of hemizygosity, and its impact on selection and adaptation, are key targets for research across the tree of life. This article is part of the Theo Murphy meeting issue ‘Molluscan genomics: broad insights and future directions for a neglected phylum’.
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Zhang, Juan, Bernd Friebe, and Bikram S. Gill. "Detection of maize DNA sequences amplified in wheat." Genome 38, no. 5 (October 1, 1995): 946–50. http://dx.doi.org/10.1139/g95-124.

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Genomic in situ hybridization to somatic metaphase chromosomes of hexaploid wheat cv. Chinese Spring using biotinylated maize genomic DNA as a probe revealed the existence of amplified maize DNA sequences in five pairs of chromosomes. The in situ hybridization sites were located on chromosomes 1A, 7A, 2B, 3B, and 7B. One pair of in situ hybridization sites was also observed in hexaploid oat. The locations and sizes of in situ hybridization sites varied among progenitor species.Key words: Triticum aestivum, Zea mays, shared DNA sequences, genomic in situ hybridization.
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Martins, S. A., M. D. Prazeres, L. P. Fonseca, and G. Monteiro. "DNA biosensors: towards a microparticle based-platform for genomic DNA detection." New Biotechnology 25 (September 2009): S19—S20. http://dx.doi.org/10.1016/j.nbt.2009.06.049.

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Mitra*, Tanushree, Shivshankar Kumdale, Sameer Chowdhary, and Amol D. Raut. "Sensitivity detection of Abacavir in human through SNP detection of HLA-B*5701 allele." International Journal of Bioassays 5, no. 08 (July 31, 2016): 4754. http://dx.doi.org/10.21746/ijbio.2016.08.006.

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The main objective of this study was to make sure whether randomly taken 12 samples were sensitive to abacavir. The genomic DNA from 12 blood sample were extracted by phenol chloroform DNA extraction method, extracted genomic DNA were amplified and sequenced, thereafter SNPs were detected. Every sample had shown the presence of normal base at SNP position. This study indicated, those randomly taken 12 patients were sensitive to abacavir, so they can consume abacavir if they get infected with HIV.
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Browning, Heidi, Laura Berkowitz, Cynthia Madej, Janet E. Paulsen, Miriam E. Zolan, and Susan Strome. "Macrorestriction Analysis of Caenorhabditis elegans Genomic DNA." Genetics 144, no. 2 (October 1, 1996): 609–19. http://dx.doi.org/10.1093/genetics/144.2.609.

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Abstract The usefulness of genomic physical maps is greatly enhanced by linkage of the physical map with the genetic map. We describe a “macrorestriction mapping” procedure for Caenarhabditis elegans that we have applied to this endeavor. High molecular weight, genomic DNA is digested with infrequently cutting restriction enzymes and size-fractionated by pulsed field gel electrophoresis. Southern blots of the gels are probed with clones from the C. elegans physical map. This procedure allows the construction of restriction maps covering several hundred kilobases and the detection of polymorphic restriction fragments using probes that map several hundred kilobases away. We describe several applications of this technique. (1) We determined that the amount of DNA in a previously uncloned region is <220 kb. (2) We mapped the mes-1 gene to a cosmid, by detecting polymorphic restriction fragments associated with a deletion allele of the gene. The 25-kb deletion was initially detected using as a probe sequences located ~400 kb away from the gene. (3) We mapped the molecular endpoint of the deficiency hDf6, and determined that three spontaneously derived duplications in the unc-38-dpy-5 region have very complex molecular structures, containing internal rearrangements and deletions.
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Minunni, Maria, Sara Tombelli, and Marco Mascini. "A Biosensor Approach for DNA Sequences Detection in Non‐amplified Genomic DNA." Analytical Letters 40, no. 7 (May 2007): 1360–70. http://dx.doi.org/10.1080/00032710701326718.

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Choi, Yong-Sung, Kyung-Sup Lee, and Dae-Hee Park. "Genomic detection using an indicator-free DNA on a DNA chip microarray." Current Applied Physics 6, no. 4 (July 2006): 772–76. http://dx.doi.org/10.1016/j.cap.2005.04.037.

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Greenbaum, J. A., S. C. J. Parker, and T. D. Tullius. "Detection of DNA structural motifs in functional genomic elements." Genome Research 17, no. 6 (June 1, 2007): 940–46. http://dx.doi.org/10.1101/gr.5602807.

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Dissertations / Theses on the topic "Genomic DNA detection"

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Miller, James Keith. "Exon and intron detection in human genomic DNA." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Spring2005/j%5Fmiller%5F030705.pdf.

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Maw, Khin Lay. "Development of a Novel DNA Microchip for Pathogen Detection." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/chemistry_theses/34.

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Although DNA microarray can detect multiple DNA samples simultaneously, current detection techniques involve PCR and other traditional procedures. In this study, a sensitive, specific and rapid detection method, which eliminates PCR and other lengthy processes, for pathogenic DNA is presented. This technology is based on the hybridization of target DNA to the immobilized probe, extension of probe DNAs using the target-DNA as a template and signal generation by streptavidin-horseradish peroxidase and substrate. This method is highly specific and sensitive, allowing single-nucleotide-base mismatches discrimination and the detection at femtomole level. The experiments are designed to achieve short hybridization time. Therefore, satisfactory signal can be detected within minutes, allowing the rapid detection of multiple pathogenic DNA. Most importantly, the E. coli genomic DNA can be detected using this technology. In conclusion, this detection method is useful for applications including on-site pathogenic disease detection, crime scene investigation, and pathogen inspection in the environment.
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Feng, Yuanjian. "Detection and Characterization of Multilevel Genomic Patterns." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38577.

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DNA microarray has become a powerful tool in genetics, molecular biology, and biomedical research. DNA microarray can be used for measuring the genotypes, structural changes, and gene expressions of human genomes. Detection and characterization of multilevel, high-throughput microarray genomic data pose new challenges to statistical pattern recognition and machine learning research. In this dissertation, we propose novel computational methods for analyzing DNA copy number changes and learning the trees of phenotypes using DNA microarray data. DNA copy number change is an important form of structural variations in human genomes. The copy number signals measured by high-density DNA microarrays usually have low signal-to-noise ratios and complex patterns due to inhomogeneous composition of tissue samples. We propose a robust detection method for extracting copy number changes in a single signal profile and consensus copy number changes in the signal profiles of a population. We adapt a solution-path algorithm to efficiently solve the optimization problems associated with the proposed method. We tested the proposed method on both simulation and real CGH and SNP microarray datasets, and observed competitively improved performance as compared to several widely-adopted copy number change detection methods. We also propose a chromosome instability measure to summarize the extracted copy number changes for assessing chromosomal instabilities of tumor genomes. The proposed measure demonstrates distinct patterns between different subtypes of ovarian serous carcinomas and normal samples. Among active research on complex human diseases using genomic data, little effort and progress have been made in discovering the relational structural information embedded in the molecular data. We propose two stability analysis based methods to learn stable and highly resolved trees of phenotypes using microarray gene expression data of heterogeneous diseases. In the first method, we use a hierarchical, divisive visualization approach to explore the tree of phenotypes and a leave-one-out cross validation to select stable tree structures. In the second method, we propose a node bandwidth constraint to construct stable trees that can balance the descriptive power and reproducibility of tree structures. Using a top-down merging procedure, we modify the binary tree structures learned by hierarchical group clustering methods to achieve a given node bandwidth. We use a bootstrap based stability analysis to select stable tree structures under different node bandwidth constraints. The experimental results on two microarray gene expression datasets of human diseases show that the proposed methods can discover stable trees of phenotypes that reveal the relationships between multiple diseases with biological plausibility.
Ph. D.
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Hersh, Megan N. "VISUALIZING GENOMIC INSTABILITY: IN SITU DETECTION AND QUANTIFICATION OF MUTATION IN MICE." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin991312483.

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Beiko, Robert G. "Evolutionary computing strategies for the detection of conserved patterns in genomic DNA." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/29009.

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The detection of regulatory sequences in DNA is a challenging problem, especially when considered in the context of whole genomes. The degree of sequence conservation of regulatory protein binding sites is often weak, and the sites are obscured by surrounding intergenic sequence. Since structural interactions are vital for protein-DNA interactions, structural representations of regulatory sites can yield a more accurate model and a better understanding of within-site variability. However, the use of multiple alternative representations of DNA introduces a requirement for novel algorithms that can create and test different combinations of DNA features. The Genetic Algorithm Neural Network (GANN) was designed to identify combinations of patterns that can be used to distinguish between different classes of training sequence. GANN trains a set of artificial neural networks to classify sets of sequence using either backpropagation or a genetic algorithm, and uses an 'outer genetic algorithm' to choose the best inputs from a pool of DNA features that can include sequence, structure, and weight matrix representations. When trained with a subset of upstream sequences from a whole genome, GANN was able to detect patterns such as the Shine-Dalgarno sequence in Escherichia coli K12, and sequences consistent with archaeal promoters in the archaeon Sulfolobus solfataricus P2. The Motif Genetic Algorithm (MGA) constructs motif representations by concatenating minimal units of DNA sequence and structure. This algorithm was used to model conserved patterns in DNA, including the binding sites for E. coli cyclic AMP activated protein (CAP), integration host factor (IHF), and two different promoter types recognized by alternative bacterial sigma factors. The CAP models were used to detect other putative binding sites in upstream regions of the E. coli K12 genome, while attempts to train an accurate model of IHF binding sites revealed an important role for structural representations in motif modeling.
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Lindberg, Stina. "Evaluation of a genomic work flow for the detection of Bacillus subtilis in animal feed and food samples." Thesis, Uppsala University, Department of Medical Biochemistry and Microbiology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6345.

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Bacillus anthracis is one of the most feared agents of biological warfare and causes the

deadly disease called anthrax. SVA (statens veterinärmedicinska anstalt) is working on a

project together with SLV (statens livsmedelsverk) where the target is to find rapid and

effective detection methods for Bacillus anthracis in animal feed and food samples. Bacillus

subtilis, which is harmless, was used in this study as a model organism to Bacillus anthracis.

A known concentration of vegetative Bacillus subtilis was spiked in animal feed and food

samples. The genomic work flow was based on automated DNA isolation and real time PCR.

The aim of the study was to screen for inhibitory components in the animal feed and food

samples using two different DNA isolation robots; Magnatrix 8000 and Biorobot EZ1. The

results showed that DNA of high quality was extracted from the samples with both robots.

However, the CT-value generated by the real time PCR showed considerable variation

depending on the sample matrix. Some samples, for instance egg and liver, were problematic

and gave low concentrations and high CT-values probably due to inhibitory components in the

samples. Further studies will be needed to solve these problems and optimize the methods that

were used in this study.

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Figueroa, Nathaniel D. "RAIDER: Rapid Ab Initio Detection of Elementary Repeats." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1390517629.

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Benediktsson, Elís Ingi. "Detection and analysis of megasatellites in the human genome using in silico methods." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-961.

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Megasatellites are polymorphic tandem repetitive sequences with repeat-units longer than or equal to 1000 base pairs. The novel algorithm Megasatfinder predicts megasatellites in the human genome. A structured method of analysing the algorithm is developed and conducted. The analysis method consists of six test scenarios. Scripts are created, which execute the algorithm using various parameter settings. Three nucleotide sequences are applied; a real sequence extracted from the human genome and two random sequences, generated using different base probabilities. Usability and accuracy are investigated, providing the user with confidence in the algorithm and its output. The results indicate that Megasatfinder is an excellent tool for the detection of megasatellites and that the generated results are highly reliable. The results of the complete analysis suggest alterations in the default parameter settings, presented as user guidelines, and state that artificially generated sequences are not applicable as models for real DNA in computational simulations.

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Lin, Ying. "Development and assessment of machine learning attributes for ortholog detection." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.31 Mb., 65 p, 2006. http://wwwlib.umi.com/dissertations/fullcit/3220791.

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Li-Sucholeiki, Xiaocheng 1968. "A technology for detecting unselected mutational spectra in human genomic DNA." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/84743.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Division of Bioengineering and Environmental Health, 1999.
Includes bibliographical references (leaves 186-205).
by Xiaocheng Li-Suckoleiki.
Ph.D.
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Books on the topic "Genomic DNA detection"

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Roberto, Corradini, and SpringerLink (Online service), eds. Detection of Non-Amplified Genomic DNA. Dordrecht: Springer Netherlands, 2012.

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Spoto, Giuseppe, and Roberto Corradini, eds. Detection of Non-Amplified Genomic DNA. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3.

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Helminen, Päivi. Hypervariable regions of human genome applied to paternity testing and detection of malignant cell clones. Helsinki: Dept. of Human Molecular Genetics, National Public Health Institute, 1992.

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Corradini, Roberto, and Giuseppe Spoto. Detection of Non-Amplified Genomic DNA. Springer, 2014.

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Detection of NonAmplified Genomic DNA Biological and Medical Physics Biomedical Engineering. Springer, 2012.

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Heinz, Hecker Karl, ed. Genetic variance detection: Nuts & bolts of DHPLC in genomics. [Eagleville, PA]: DNA Press, 2003.

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Hecker, PhD Karl. Genetic Variance Detection: Nuts&Bolts of DHPLC in Genomics (Nuts & Bolts Series). Dna Press, 2003.

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Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Marine environments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0013.

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Chapter 13 “Marine environments” focuses on different applications of eDNA to study marine biodiversity. After a brief description of the current knowledge on DNA cycle in pelagic and benthic environments, this chapter revisits how DNA metabarcoding, and more generally environmental genomics have revolutionized the field of marine microbiology through the discovery of novel taxa and by unveiling large-scale patterns of diversity for marine bacteria, protists, and viruses. This chapter then presents recent applications of DNA metabarcoding for both basic research or biomonitoring purposes to study marine invertebrates and fish populations and diversity, as well as the detection of invasive species. Current gaps and methodological challenges are also discussed.
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Abdallah, Roshan. Evaluation of DNA hybridization probes for detecting Xanthomonas campestris pv. vesicatoria and analysis of genomic diversity by RFLP techniques. 1993.

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Didenko, Vladimir V. In Situ Detection of DNA Damage: Methods and Protocols (Methods in Molecular Biology, Vol 203) (Methods in Molecular Biology). Humana Press, 2002.

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Book chapters on the topic "Genomic DNA detection"

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Fetherston, J. D., Toby Horn, Renato Mariani-Costantini, Iqbal Ali, Jeffrey Schlom, and Robert Callahan. "Novel Endogenous Retroviral Genomes in Human Genomic DNA." In Breast Cancer: Origins, Detection, and Treatment, 182–89. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2309-9_15.

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Li, Di, and Chunhai Fan. "Optical Detection of Non-amplified Genomic DNA." In Detection of Non-Amplified Genomic DNA, 153–83. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_6.

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Knoll, Wolfgang, Jianyun Liu, Lifang Niu, Peter Eigil Nielsen, and Louis Tiefenauer. "Parallel Optical and Electrochemical DNA Detection." In Detection of Non-Amplified Genomic DNA, 263–78. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_10.

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Lim, Dong-Kwon, Amit Kumar, and Jwa-Min Nam. "Engineered Nanostructures for the Ultrasensitive DNA Detection." In Detection of Non-Amplified Genomic DNA, 67–87. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_3.

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Minunni, Maria. "Piezoelectric Sensing for Sensitive Detection of DNA." In Detection of Non-Amplified Genomic DNA, 203–33. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_8.

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Zanoli, Laura Maria, Roberta D’Agata, Giuseppe Spoto, Roberto Corradini, Rosangela Marchelli, Cristina Ferretti, and Marcello Gatti. "Ultrasensitive Detection of Non-amplified Genomic DNA." In Lecture Notes in Electrical Engineering, 485–88. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1324-6_79.

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Li, Yuanyuan, and Trygve O. Tollefsbol. "DNA Methylation Detection: Bisulfite Genomic Sequencing Analysis." In Methods in Molecular Biology, 11–21. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-316-5_2.

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Finotti, Alessia, Giulia Breveglieri, Monica Borgatti, and Roberto Gambari. "Genetic Analyses in Health Laboratories: Current Status and Expectations." In Detection of Non-Amplified Genomic DNA, 3–24. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_1.

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Thompson, John F., Fatih Ozsolak, and Patrice M. Milos. "Recent Advances in Sequencing Technology." In Detection of Non-Amplified Genomic DNA, 281–308. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_11.

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Marchelli, Rosangela, Tullia Tedeschi, and Alessandro Tonelli. "DNA Analyses in Food Safety and Quality: Current Status and Expectations." In Detection of Non-Amplified Genomic DNA, 25–63. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1226-3_2.

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Conference papers on the topic "Genomic DNA detection"

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Inoue, Shinnosuke, Woon-Hong Yeo, Jong-Hoon Kim, Jae-Hyun Chung, Kyong-Hoon Lee, Dayong Gao, Kieseok Oh, and Gerard Cangelosi. "Amplification-Free DNA Detection Using a Microtip-Sensor Decorated With LNA Probes for Rapid TB Screening." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64378.

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Tuberculosis (TB) is an epidemic affecting one-third of the world’s population, mostly in developing and low-resource settings. People having active pulmonary TB are considered highly infectious; therefore, it is critical to identify and treat these patients rapidly before spreading to others. However, the most reliable TB diagnostic methods of bacterial culture or nucleic acid amplification are time-consuming and expensive. The challenge of TB diagnosis lies in highly sensitive and specific screening with low cost. Here, we present an LNA-modified microtip-sensor, which is capable of selectively detecting low-abundance DNA from bacteria. When genomic DNA of Bacillus Calmette-Gue´rin (BCG, a surrogate marker of Mycobacterium bovis), and genomic DNA of Staphylococcus epidermidis (S. epi) are used, the microtip-sensor yields the detection limit of 1,000 copies/mL within 20 minutes. The high sensitivity and specificity approaching nucleic acid amplification methods can potentially overcome the current challenges for rapid TB screening.
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Alqallaf, Abdullah K., and Ahmed H. Tewfik. "DNA Copy Number Detection and Sigma Filter." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365825.

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Chen, Chun-Cheng, and Gou-Jen Wang. "PCR Free Detection of Hepatitis B Virus DNA Using a Nanostructured Impedance Biosensor." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34866.

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In this study, a PCR free technique for effective detection of hepatitis B virus (HBV) DNA obtained directly from clinical samples was presented. The honeycomb-like barrier layer of an anodic aluminum oxide (AAO) film having a uniform nanohemisphere array was used as the substrate of the sensing electrode. A gold thin film about 30 nm thick was radio-frequency (RF) magnetron sputtered onto the AAO barrier-layer surface as the electrode for the successive deposition of gold nanoparticles (GNPs) on the hemisphere surface. A specially designed single-strand 96-mer gene fragment of the target genomic DNA of HBV based on the genome sequences of HBV from the National Center for Biotechnology Information (NCBI) was immobilized on the nanostructured electrode as the capture probe. Complementary target HBV DNA (3020–3320 mer) obtained from clinical samples were further hybridized to the sensing probes. Detection results through electrochemical impedance spectroscopy (EIS) illustrate that two dynamic linear ranges, 0–103 and 103–105 copies/mL, having R2 values of 0.973 and 0.998, respectively, could be obtained. A detection limit of 186 copies/mL could be achieved. The proposed simple and high performance HBV DNA detection technique in this study is highly feasible for future clinical applications.
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Kopacz, Adrian M., Wing K. Liu, and Jae-Hyun Chung. "Design and Optimization of a Nanotip Sensor via Immersed Molecular Electrokinetic Finite Element Method." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13299.

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A critical challenge in the field of medicine is to develop a low cost sensor competent of detecting specific bacterial pathogens via a precise deoxyribonucleic acid (DNA) sequence. In order to identify such biological agents in a patient’s blood or other bodily fluids at the onset of infection, detection of specific pathogen genomic DNA is considered a reliable approach. Current techniques involving multiplex DNA/RNA detection arrays or immunoassays [1] require cumbersome sample preparation, aggressive nucleic acid amplification protocols and must be operated by trained personnel. To overcome the aforementioned obstacles, a time-dependent dielectrophoretic force driven sensor consisting of nanostructured tip is being developed.
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Dayu Huang and Olgica Milenkovic. "Superimposed coding for iterative detection of DNA microarray spot failures." In 2008 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2008. http://dx.doi.org/10.1109/gensips.2008.4555682.

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Chen, Jie, and Yu-Ping Wang. "Detection of dna copy number changes using statistical change point analysis." In 2006 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2006. http://dx.doi.org/10.1109/gensips.2006.353131.

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Rushdi, Ahmad, and Jamal Tuqan. "The role of the symbolic-to-numerical mapping in the detection of DNA periodicities." In 2008 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2008. http://dx.doi.org/10.1109/gensips.2008.4555680.

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Provaznik, Ivo, Vladimira Kubicova, Helena Skutkova, Jiri Nedved, Ewarvst Tkacz, Petr Babula, and Rene Kizek. "Detection of short exons in DNA sequences using complex wavelet transform of structural features." In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2012. http://dx.doi.org/10.1109/gensips.2012.6507740.

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de la Salle, C., M. J. Baas, L. Grunebaum, R. Gialeraki, T. Mandalaki, and J.-P. Cazenave. "MOLECULAR ANALYSIS OF COAGULATION FACTOR VIII AND IX GENES BY DNA PROBES." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643873.

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Abstract:
About 250 individuals belonging to 44 families with hemophilia A or B were studied in our laboratory. The detection of carriers was first established by pedigree analysis of each family . and coagulation and immunological assays of factor VIII or IX. The availability of specific probes for the molecular study of these two genes makes possible a diagnosis with certainty in the case of informative families. 25 families of hemophilia A were studied. For each person, blood was collected into EDTA and leucocyte DNA was extracted, digested by restriction endonucleases, electrophoresed in 0.9 % agarose gels and transferred to nitrocellulose filters by Southern blotting. Two probes were used for the analysis of factor VIII gene. The St 14 probe (J.L. Mandel) located on the q28 region of the X chromosome and closely linked to the gene, determines a restriction fragment length polymorphism (RFLP) when the DNA is digested by the enzyme TaqI. The p114-12 genomic probe (Genentech) corresponding to the exons 17 and 18 of the factor VIII gene, reveals a RFLP in the DNA digested by the enzyme BclI. 19 families -of hemophilia B were studied. A total factor IX cDNA probe was used for the screening of potential deletions in the case of hemophiliacs with circulating antibodies. A genomic probe containing the exons II, III and IV of factor IX was used to detect the TaqI RFLP. For the study of factor VIII gene, the extragenic probe St 14 gives a very high percentage of informativity (about 90 %) but recombination can occur between the probe and the gene. The p 114-12 probe, which is used to confirm the results given by the St 14 probe, gives about 20 % informativity. In our study, we were able to diagnose carrier state with certainty in 92 % of the families. For hemophilia B, the genomic probe gives about 40 % informativity. A large deletion of the region of the factor IX gene has been found in one family and remains to be mapped. In conclusion, carrier detection and prenatal diagnosis can be established with certainty by molecular studies in most cases of hemophilia A using the St 14 probe, with a 5 % risk of recombination when the BclI RFLP cannot confirm. This diagnosis is possible in about 40 % of the cases of hemophilia B.
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10

Tam, Nga Wan Rachel, Teiko Sumiyoshi, Rajesh Patel, Sundari Sarma, Astrid Kiermaier, and Rajiv Raja. "Abstract 2409: Ultrasensitive detection of genomic alterations in cell-free DNA by Droplet Digital PCR." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-2409.

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Reports on the topic "Genomic DNA detection"

1

Lerman, L. S. [Cloning-idependent mapping technology for genomic fidelity, contig linking, C-DNA site analysis, and gene detection]. Final report. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10111141.

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