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Relevant bibliographies by topics / DNA – Analysis

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Academic literature on the topic 'DNA – Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "DNA – Analysis"

1

Yokoyama, Toru. "DNA Analysis." Journal of the Institute of Image Information and Television Engineers 67, no. 9 (2013): 812–14. http://dx.doi.org/10.3169/itej.67.812.

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Somkuti, George A., and Dennis H. Steinberg. "DNA-DNA hybridization analysis ofStreptococcus thermophilusplasmids." FEMS Microbiology Letters 78, no. 2-3 (March 1991): 271–76. http://dx.doi.org/10.1111/j.1574-6968.1991.tb04454.x.

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JUNG, KYU WON. "DNA Analysis and Forensic evidence." Institute for Legal Studies 33, no. 4 (December 31, 2016): 109–26. http://dx.doi.org/10.18018/hylr.2016.33.4.109.

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McDonald, Jessica, and Donald C. Lehman. "Forensic DNA Analysis." American Society for Clinical Laboratory Science 25, no. 2 (April 2012): 109–13. http://dx.doi.org/10.29074/ascls.25.2.109.

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Gehrig, Christian, and Anne Teyssier. "Forensic DNA Analysis." CHIMIA International Journal for Chemistry 56, no. 3 (March 1, 2002): 71–73. http://dx.doi.org/10.2533/000942902777680784.

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Maaskant-van Wijk, P. A., B. H. W. Faas, P. Wildoer, P. C. Ligthart, M. A. M. Overbeeke, A. E. G. Kr. von dem Borne, D. J. Van Rhenen, and C. E. Van der Schoot. "Rh DNA analysis." Transfusion Clinique et Biologique 3, no. 6 (January 1996): 507–10. http://dx.doi.org/10.1016/s1246-7820(96)80072-3.

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McCord, Bruce R., Quentin Gauthier, Sohee Cho, Meghan N. Roig, Georgiana C. Gibson-Daw, Brian Young, Fabiana Taglia, et al. "Forensic DNA Analysis." Analytical Chemistry 91, no. 1 (November 28, 2018): 673–88. http://dx.doi.org/10.1021/acs.analchem.8b05318.

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Fujimoto, Kenzo. "Photochemical DNA Manipulation and DNA Analysis by Photoresponsive Artificial DNA." Journal of Synthetic Organic Chemistry, Japan 65, no. 7 (2007): 709–14. http://dx.doi.org/10.5059/yukigoseikyokaishi.65.709.

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CRISAN, DOMNITA, and JOAN C. MATTSON. "Retrospective DNA Analysis Using Fixed Tissue Specimens." DNA and Cell Biology 12, no. 5 (June 1993): 455–64. http://dx.doi.org/10.1089/dna.1993.12.455.

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Immel, Uta-Dorothee, Susanne Hummel, and Bernd Herrmann. "Reconstruction of kinship by fecal DNA analysis of Orangutans." Anthropologischer Anzeiger 58, no. 1 (March 28, 2000): 63–67. http://dx.doi.org/10.1127/anthranz/58/2000/63.

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Dissertations / Theses on the topic "DNA – Analysis"

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Rifaat, Rasekh. "Multifractal analysis of DNA." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0007/MQ32231.pdf.

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Stephens, Nathan W. "A comparison of genetic microarray analyses : a mixed models approach versus the significance analysis of microarrays /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1604.pdf.

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McClelland, Robyn L. (Robyn Leagh). "Statistical analysis of DNA profiles." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68215.

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DNA profiles have become an extremely important tool in forensic investigations, and a match between a suspect and a crime scene specimen is highly incriminating. Presentation of this evidence in court, however, requires a statistical interpretation, one which reflects the uncertainty in the results due to measurement imprecision and sampling variability. No consensus has been reached about how to quantify this uncertainty, and the literature to date is lacking an objective review of possible methods.
This thesis provides a survey of approaches to statistical analysis of DNA profile data currently in use, as well as proposed methods which seem promising. A comparison of frequentist and Bayesian approaches is made, as well as a careful examination of the assumptions required for each method.

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O'Donoghue, Kerry. "Chemical analysis of ancient DNA." Thesis, University of Manchester, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488296.

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Akman, Kemal. "Bioinformatics of DNA Methylation analysis." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-182873.

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Hastings, Patsy-Ann Susan. "MITOCHONDRIAL DNA ANALYSIS BY PYROSEQUENCING." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4447.

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Mitochondrial DNA (deoxyribo nucleic acid) is typically used in forensic casework when small quantities of high molecular weight quality DNA is not expected to be present thus negating the chances of obtaining usable nuclear DNA. Typical samples that utilized mitochondrial DNA analysis are: hair, bones, teeth, ancient remains (samples or remains that are at least 100 years old) or very old samples (samples that are less than 100 but greater than 10 years old). The current method used to evaluate mitochondrial DNA is Sanger sequencing. Although robust, it is also time consuming and labor intensive, on the other hand pyrosequencing is a nonelectrophoretic, rapid, reliable, and sensitive sequencing method which can be easily automated. Therefore pyrosequencing could enable the widespread use of mitochondrial DNA in forensic casework and reduce the amount of time spent on each sample without compromising quality. The aim of this study is to evaluate the efficacy of pyrosequencing for forensic DNA applications, in particular mitochondrial DNA. Two dispensation orders, cyclic and directed, were examined to determine if there is any effect on the sequence generated. The accuracy of pyrosequencing was evaluated by sequencing samples of known sequence provided by the FBI. The sensitivity of pyrosequencing was evaluated by sequencing samples at different DNA concentrations and inputs. Experiments were conducted to determine the ability of pyrosequencing to detect mixtures and heteroplasmy. Additionally, the ability of pyrosequencing to sequence damaged/degraded DNA was evaluated using blood, semen, and saliva samples that were subjected to three different environmental conditions. A blind study will be conducted to confirm the accuracy of pyrosequencing. Finally, a comparison study will be conducted in which pyrosequencing will be compared to Sanger sequencing.
M.S.
Department of Chemistry
Arts and Sciences
Chemistry

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Wang, Meng. "Mutational analysis of DNA deaminases." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611829.

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Salman, Abbas Ali Abulwohab. "Miniaturised system for DNA analysis." Thesis, Teesside University, 2013. http://hdl.handle.net/10149/316214.

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The growing markets for analytical techniques in areas such as pathogen detection, clinical analysis, forensic investigation, environmental analysis and food analysis require the development of devices with simultaneous high performance, speed, simplicity and low cost. Analysis of deoxyribonucleic acid (DNA) has been enhanced by use of the polymerase chain reaction (PCR) technique, which is now a widely used tool for in vitro amplification of nucleic acids. In this work, a miniaturised PCR system comprising a microfluidic PCR chip, novel heating method and fluorescence detection unit was developed. PCR chip with reactants were shunted along three temperature zones in a fine polycarbonate chip. The polycarbonate PCR chip was fabricated using milling and thermal fusion binding for sealing of the cover. Thermal-cycling within the microfluidic chip was achieved by programmable shunting of the chip between three double side temperature zones with different temperatures to accomplish the denaturation, annealing and elongation steps necessary for PCR amplification. This thermal-cycling model potentially improves PCR efficacy because it increases the ramping rates for heating and cooling the PCR mixture. The detection unit comprises a photo-detector and Light Emitting Diode (LED) as the source of excitation. The detection limit of the system was determined on the PCR chip using Fluorescein isothiocyanate (FITC) as a fluorophore dye. The detection limit achieved was 7.8 pg ml-1 or (19.7 pmol) of FITC. The chromosomal DNA used in this work was extracted from non-pathogenic K-12 subtype of Escherichia coli (E. coli). The investigations showed that the system was capable of performing PCR amplification with different annealing temperature ranging from 54 to 68 °C, targeting three different sizes of PCR products of 250, 552 and 1500 bp. The prototype thermal-cycler and PCR chip were used successfully to amplify the three sizes and the results were compared with same fragments amplified on a conventional PCR .thermal-cycler machine. The method used for comparison was gel electrophoresis. In addition, a fluorescence detection system was employed for detecting of PCR products using SYBR Green I fluorescent dye. The whole system allows for developments of low cost, easy to use and portable instruments.

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Poli, Elena. "DNA METHYLATION ANALYSIS IN RHABDOMYOSARCOMA." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424380.

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Rhabdomyosarcoma (RMS) is a highly aggressive pediatric soft-tissue sarcoma. It is mainly classified into two major subtypes characterized by alveolar (ARMS) and embryonal (ERMS) histologies. ARMS are characterized by a more aggressive behavior with a higher tendency to present metastasis at diagnosis and to relapse after treatment. Approximately 80% of ARMS harbour the reciprocal chromosomal translocation t(2;13)(q35;q14) and, less commonly, the variant translocation t(1;13)(p36;q14), in which PAX3 and FOXO1, or PAX7 and FOXO1 genes, respectively, are juxtaposed. Unfortunately, no such specific genetic aberrations are known in ERMS, and myogenic factors as myogenin and MyoD1 are the only diagnostic indicators that can be used. Despite aggressive multimodal therapies, the prognosis of high-risk RMS patients has not been improved, with a 5-year overall survival rate less than 20-30%, which prompts a need for new therapeutic strategies. In the last decade many scientific studies have demonstrated that gene expression signature distinguishes PAX3-FOXO1 positive RMS from PAX3-FOXO1 negative, but the reasons of the different expression are still unknown. Aberrant DNA methylation patterning is a hallmark of cancer and could be responsible for the different gene expression of RMS tumor subtypes. We performed genome-wide methylation profile by microarray experiments followed by Reduced-Representation Bisulfite Sequencing (RRBS). Microarray analysis demonstrated a different methylation profile between PAX3-FOXO1 positive and negative RMS, besides among metastatic and non-metastatic RMS. We confirmed HOXC11 as one of the gene differentially methylated between PAX3-FOXO1 positive and negative RMS cell lines using in vitro demethylating agents and bisulfite sequencing. Unfortunately, we did not validate the result in the cohort of RMS biopsies. Moreover, we performed another analysis on microarray data comparing metastatic vs non-metastatic RMS. We found an elevated numbers of differentially methylated regions (DMRs) and many of them map to promoter regions of genes implicated in tumors development. In particular we found DMRs linked to clustered protocadherins, known as tumor suppressor genes. We confirmed a different expression pattern of PCDHA4, as well as a different methylation level of its promotorial region, comparing metastatic and non-metastatic RMS samples. Nevertheless, the methylation status and the expression level of PCDHA4 did not have significant correlation with clinical features and are not a predictor of poor prognosis in RMS. Then, we performed an RRBS sequencing, in order to validate data obtained with microarray platforms. We observed a very low concordance between the two approaches, probably caused by a low quality DNA used in microarray experiments. The RRBS sequencing had demonstrated again that PAX3-FOXO1 positive and negative RMS have a different methylation pattern. Moreover, we demonstrated that GADD45G and NELL1, already described as tumor suppressors in other cancers and often downregulated by methylation processes, had also an involvement in RMS biology. Our experiments confirmed an epigenetic regulation by DNA methylation for GADD45G and NELL1 and that their expression were correlated to RMS histology, presence of fusion status and IRS group staging. Furthermore, GADD45G and NELL1 expression levels affect the progression free survival of RMS patients suggesting their association with a poor prognosis. In conclusion, we demonstrated that GADD45G and NELL1 could be novel potential biomarkers in RMS and we evidenced that the DNA methylation pattern in RMS could be interesting for new therapeutic strategies. We hope that our efforts could contribute to a better molecular classification of RMS tumors and to the identification of new targets for improving standard therapy.
Il rabdomiosarcoma (RMS) è una sarcoma pediatrico dei tessuti molli altamente aggressivo. Viene classificato principalmente in due sottotipi, caratterizzati da istologia alveolare (RMSA) o embrionale (RMSE). Nei RMSA si osserva un comportamento più aggressivo e una maggiore tendenza a presentare metastasi alla diagnosi e alla ricaduta dopo trattamento. Circa l'80% dei RMSA presentano la traslocazione cromosomica reciproca t(2; 13) (q35; q14) e, meno comunemente, la variante t(1; 13) (p36; q14), in cui i geni PAX3 e FOXO1, o PAX7 e FOXO1, rispettivamente, sono giustapposti. Purtroppo, non si conoscono aberrazioni genetiche specifiche nei RMSE e i fattori miogenici, come miogenina e MyoD1, sono gli unici indicatori diagnostici che possono essere utilizzati. Nonostante l’applicazione di terapie aggressive multimodali, la prognosi dei pazienti affetti da RMS, della categoria alto rischio, non è migliorata, con un tasso di sopravvivenza a 5 anni inferiore al 20-30%. Questo dato indica la necessità di sviluppare nuove strategie terapeutiche. Nell’ultimo decennio molti studi scientifici hanno dimostrato che in base al profilo di espressione genica è possibile distinguere RMS PAX3-FOXO1-positivi e PAX3-FOXO1-negativi, ma le ragioni di questa diversa espressione sono ancora sconosciute. L’anomala metilazione del DNA è un indicatore di neoplasia e potrebbe essere la causa responsabile della diversa espressione genica dei due sottotipi di tumore. In questo studio, per mezzo di esperimenti di microarray, abbiamo realizzato un’analisi dello stato di metilazione del DNA su tutto il genoma, proseguendo poi con esperimenti di sequenziamento sfruttando la tecnica Reduced-Representation Bisulfite Sequencing (RRBS). L’analisi dei risultati ottenuti con gli esperimenti di microarray ha dimostrato, non solo un profilo di metilazione diverso tra i RMS PAX3-FOXO1-positivi e negativi, ma anche tra i RMS metastatici e non metastatici. Abbiamo confermato che il gene HOXC11 risulta essere differenzialmente metilato tra linee cellulari di RMS PAX3-FOXO1-positive e negative, sfruttando trattamenti con agenti demetilanti in vitro e sequenziamento del DNA dopo conversione con bisolfito; purtroppo, non abbiamo confermato il risultato nella coorte di biopsie di RMS. Inoltre, abbiamo effettuato un'ulteriore analisi sui dati di microarray confrontando i RMS metastatici con i non metastatici. Abbiamo trovato un elevato numero di regioni differenzialmente metilate (DMR) e molte di queste sono risultate coincidere con le regioni promotoriali di geni implicati nello sviluppo di tumori; in particolare, abbiamo trovato DMR connesse alla famiglia delle clustered protocaderine, note come geni soppressori di tumore. Abbiamo poi confermato un diverso profilo di espressione del gene PCDHA4, così come un diverso stato di metilazione a livello della sua regione promotoriale, confrontando campioni di RMS metastatici e non metastatici. Tuttavia, lo stato di metilazione e il livello di espressione di PCDHA4 non hanno dimostrato una correlazione significativa con le caratteristiche cliniche del RMS. Il gene PCDHA4 non risulta quindi essere un predittore prognostico nel RMS. Successivamente, abbiamo effettuato un sequenziamento RRBS, al fine di validare i dati ottenuti con le piattaforme dei microarray. Ne è risultata una bassa concordanza tra i due approcci, probabilmente a causa della bassa qualità del DNA utilizzato negli esperimenti di microarray. Il sequenziamento RRBS ha dimostrato ancora una volta che i RMS PAX3-FOXO1-positivi hanno un profilo di metilazione diverso dai RMS PAX3-FOXO1-negativi. Inoltre, abbiamo dimostrato che GADD45G e NELL1, già descritti come soppressori tumorali in altri tipi di tumore e spesso regolati in maniera negativa da processi di metilazione, sono anche coinvolti nella biologia del RMS. Con i nostri esperimenti abbiamo confermato una regolazione epigenetica, mediata dalla metilazione del DNA ,per i geni GADD45G e NELL1, e come la loro espressione sia correlata alla istologia del RMS, alla presenza dei geni di fusione e alla stadiazione in gruppi IRS. Inoltre, abbiamo dimostrato che i livelli di espressione di GADD45G e NELL1 influenzano la sopravvivenza libera da progressione di malattia nei pazienti affetti da RMS, suggerendo la loro associazione con una prognosi sfavorevole. In conclusione, il nostro lavoro ha dimostrato che GADD45G e NELL1 potrebbero essere nuovi potenziali biomarcatori nel RMS, evidenziando come il profilo di metilazione del DNA nel RMS potrebbe favorire lo sviluppo di nuove strategie terapeutiche. Ci auguriamo che i nostri sforzi possano contribuire ad una migliore classificazione molecolare dei tumori nei pazienti affetti da RMS e alla identificazione di nuovi bersagli farmacologici per una terapia più mirata.

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Zhang, Jianhua. "Restriction fragment length polymorphism analysis of chloroplast DNA, mitochondrial DNA, and ribosomal DNA in turfgrasses." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-170748/.

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Books on the topic "DNA – Analysis"

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DNA analysis. Philadelphia: Mason Crest Publishers, 2006.

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Linacre, Adrian M. T., and Shanan S. Tobe. Wildlife DNA Analysis. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118496411.

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Cupples Connon, Catherine, ed. Forensic DNA Analysis. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3295-6.

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Tuimala, Jarno, and M. Minna Laine. DNA microarray data analysis. [Espoo]: CSC - Scientific Computing, 2003.

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Sawyer, Sarah. Careers in DNA analysis. New York: Rosen Central, 2008.

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Group, Search, ed. Forensic DNA analysis: Issues. Washington, D.C: U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1991.

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Belair, Robert R. Forensic DNA analysis: Issues. Washington, D.C: U.S. Dept. of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1991.

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Scarlett, Garry, ed. DNA Manipulation and Analysis. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3004-4.

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Dubitzky, Werner, Daniel P. Berrar, and Martin Granzow. A practical approach to microarray data analysis. Dordrecht: Springer, 2009.

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M, Miyamoto Michael, and Cracraft Joel, eds. Phylogenetic analysis of DNA sequences. New York: Oxford University Press, 1991.

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Book chapters on the topic "DNA – Analysis"

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Rice, Peter M., Keith Elliston, and Michael Gribskov. "DNA." In Sequence Analysis Primer, 1–59. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-21355-9_1.

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Mays, Simon. "DNA analysis." In The Archaeology of Human Bones, 292–311. 3rd ed. Third edition. | New York : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781315171821-12.

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Gotoh, Masanori, and Mariko Tosu. "DNA-DNA Interactions." In Real-Time Analysis of Biomolecular Interactions, 141–46. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-66970-8_15.

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Kirby, Lorne T. "Analysis Techniques." In DNA Fingerprinting, 91–133. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-12040-6_6.

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Cooley, Ashley M. "Mitochondrial DNA Analysis." In Forensic DNA Analysis, 331–49. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3295-6_20.

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Syed Ibrahim, Kalibulla, Guruswami Gurusubramanian, Zothansanga, Ravi Prakash Yadav, Nachimuthu Senthil Kumar, Shunmugiah Karutha Pandian, Probodh Borah, and Surender Mohan. "DNA Marker Analysis." In Bioinformatics - A Student's Companion, 117–39. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1857-2_2.

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Prinz, Mechthild, and Ruediger Lessig. "Forensic DNA Analysis." In Handbook of Forensic Medicine, 1141–83. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118570654.ch63.

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Reynier, P., Y. Malthièry, and P. Lestienne. "Mitochondrial DNA Analysis." In Mitochondrial Diseases, 379–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59884-5_28.

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Bloomfield, Victor. "DNA Sequence Analysis." In Computer Simulation and Data Analysis in Molecular Biology and Biophysics, 233–48. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0083-8_12.

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Feng, Lingfang, and Jianlin Lou. "DNA Methylation Analysis." In Methods in Molecular Biology, 181–227. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8916-4_12.

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Conference papers on the topic "DNA – Analysis"

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Gemma, N., S. O'uchi, H. Funaki, J. Okada, and S. Hongo. "CMOS Integrated DNA Chip for Quantitative DNA Analysis." In 2006 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. IEEE, 2006. http://dx.doi.org/10.1109/isscc.2006.1696291.

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Johnson, Mitchell E., Jeffrey T. Petty, Peter M. Goodwin, John C. Martin, W. Patrick Ambrose, Babetta L. Marrone, James H. Jett, and Richard A. Keller. "Recent Developments in DNA Fragment Sizing by Flow Cytometry." In Laser Applications to Chemical Analysis. Washington, D.C.: Optica Publishing Group, 1994. http://dx.doi.org/10.1364/laca.1994.thc.3.

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Gel electrophoresis is the most widely accepted technique for analysis and separation of DNA fragments. Standard gel electrophoresis is used for fragment sizes up to approximately 50 kb in length. Larger fragments must be separated by some form of pulsed field electrophoresis (1). Capillary gel electrophoresis (2) and ultrathin slab gel electrophoresis (3) are currently being developed to allow for high speed separation of DNA sequencing ladders for sizes less than 1 kb. No matter what form of electrophoresis is used, the separation is highly non-linear and generally has an upper limit to the size of the DNA that can be analyzed. In addition, conventional gel-based separations may take many hours, depending on required resolution and detection method.

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Jett, James H., Lloyd C. Davis, Jong Hoon Hahn, Richard A. Keller, Letitia Krakowski, Babetta Marrone, John C. Martin, Robert Ratliff, Newton K. Seitzinger, and E. Brooks Shera. "Single Molecule Detection in Flowing Sample Streams As An Approach to DNA Sequencing." In Laser Applications to Chemical Analysis. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/laca.1990.tha3.

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We are exploring a technique which has the potential to sequence large fragments of DNA at a rate of hundreds of bases per second. Our technique is based upon a projected ability to detect single chromophores by laser-induced fluorescence in flowing sample streams.1 The technique involves: (1) labeling the nucleotides with base specific tags suitable for fluorescence detection, (2) selecting a desired fragment of DNA, (3) suspending the single DNA fragment in a flowing sample stream, (4) sequentially cleaving labeled bases from the free end of the DNA fragment using an exonuclease, and (5) detecting and identifying the cleaved, labeled bases as they flow through a focused laser beam.2

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Brown, John R. "FBI's DNA analysis program." In Coupling Technology to National Need, edited by Arthur H. Guenther and Louis D. Higgs. SPIE, 1994. http://dx.doi.org/10.1117/12.170641.

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Lockie-Williams, C., C. Gkouva, L. Gibson, and C. Howard. "DNA barcoding analysis: quality control of published DNA sequences." In 67th International Congress and Annual Meeting of the Society for Medicinal Plant and Natural Product Research (GA) in cooperation with the French Society of Pharmacognosy AFERP. © Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-3399756.

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Sauer, M., J. Arden-Jacob, K. H. Drexhage, F. Göbel, U. Lieberwirth, C. Zander, and J. Wolfrum. "How many labeled mononucleotide molecules can be identified in water on the single-molecule level." In Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/lacea.1998.lma.5.

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One of the most popular application of the single-molecule detection (SMD) technique is fast DNA sequencing on the single-molecule level as proposed by Keller and coworkers.1,2 The principle idea of this very elegant method involves the incorporation of fluorescently labeled mononucleotides in a growing DNA strand, attachment of a single labeled DNA to a support (generally latex beads), movement of the supported DNA into a flowing sample stream, microchannel or microcapillary3 and detection of the analyte molecules as they are cleaved from the DNA strand by an exonuclease. The DNA sequence is determined by the order in which differently labeled nucleotides are detected and identified. Although a lot of problems are associated with the enzymatic incorporation of labeled mononucleotides and the selective handling of a single DNA strand different detection and identification strategies have been developed. However, up to now, only two different dyes have been successfully identified on the single-molecule level in aqueous solution due to their different fluorescence lifetimes.4,5 Hence, the critical question in DNA sequencing on the single strand is how many labels can be identified on the single-molecule level in aqueous solvent systems.

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Sauer, Markus, F. Gobel, K. T. Han, and C. Zander. "Single molecule DNA sequencing in microcapillaries." In Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: OSA, 2001. http://dx.doi.org/10.1364/lacea.2000.fb4.

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8

Kim, Min Jun, Meni Wanunu, Gautam Soni, and Amit Meller. "Nanopore Sensors for Ultra-Fast DNA Analysis." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15571.

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Abstract:

We have developed novel approaches for ultra-fast DNA analysis by measuring of an ionic current blockage and parallel optical readout of DNA translocation through single nanopores and nanopore arrays. Parallelism is achieved by the fabrication of high density solid-state arrays of single nanometer resolution pores and simultaneous optical readout of DNA translocation. Optical readout in arrays circumvents the direct electrical addressing of each pore. We will present new nanofabrication techniques to create nanoscale pores in 50 nm thick silicon nitride membrane using transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) and discuss our progress towards ultra-fast DNA sequencing.

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Kinsner, Witold. "Towards cognitive analysis of DNA." In 2010 9th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2010. http://dx.doi.org/10.1109/coginf.2010.5599728.

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Linton, Eric, Paul Albee, Patrick Kinnicutt, and En-Bing Lin. "Multiresolution Analysis of DNA Sequences." In 2010 Second International Conference on Computer Research and Development. IEEE, 2010. http://dx.doi.org/10.1109/iccrd.2010.32.

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Reports on the topic "DNA – Analysis"

1

Macula, Anthony, and Morgan Bishop. Superimposed Code Theoretic Analysis of DNA Codes and DNA Computing. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada477311.

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2

Canavan, G. H. Analysis of DNA impact test data. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/560796.

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3

Armbrust, E. V. Analysis of Diatom Blooms Using DNA Fingerprints. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada627659.

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4

Armbrust, E. V. Analysis of Diatom Blooms Using DNA Fingerprints. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada629750.

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Wu, Liyou, T. Y. Yi, Joy Van Nostrand, and Jizhong Zhou. Phylogenetic Analysis of Shewanella Strains by DNA Relatedness Derived from Whole Genome Microarray DNA-DNA Hybridization and Comparison with Other Methods. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/986917.

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Button, Julie M. Analysis of cellular and extracellular DNA in fingerprints. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1169860.

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Macula, Anthony. Network Analysis and Knowledge Discovery Through DNA Computing. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada456997.

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8

Shavlik, J. W. Applying machine learning techniques to DNA sequence analysis. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5688406.

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Shavlik, J. W., and M. O. Noordewier. Applying machine learning techniques to DNA sequence analysis. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/7023074.

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Cai, H., K. Kommander, P. S. White, and J. P. Nolan. Flow cytometry-based DNA hybridization and polymorphism analysis. Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/663513.

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