Relevant bibliographies by topics / DNA sequencing

Academic literature on the topic 'DNA sequencing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "DNA sequencing"

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Rees, W. D. "DNA sequencing." Proceedings of the Nutrition Society 55, no. 1B (March 1996): 605–12. http://dx.doi.org/10.1079/pns19960054.

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Griffin, H. G., and A. M. Griffin. "DNA sequencing." Applied Biochemistry and Biotechnology 38, no. 1-2 (January 1993): 147–59. http://dx.doi.org/10.1007/bf02916418.

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Dewey, Frederick E., Stephen Pan, Matthew T. Wheeler, Stephen R. Quake, and Euan A. Ashley. "DNA Sequencing." Circulation 125, no. 7 (February 21, 2012): 931–44. http://dx.doi.org/10.1161/circulationaha.110.972828.

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Tang, Lei. "Sequencing DNA bendability." Nature Methods 18, no. 2 (February 2021): 121. http://dx.doi.org/10.1038/s41592-021-01070-1.

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Lund, John, and Babak Parviz. "Electronic DNA Sequencing." Current Pharmaceutical Analysis 5, no. 2 (May 1, 2009): 91–100. http://dx.doi.org/10.2174/157341209788172906.

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Marian, Ali J. "Medical DNA sequencing." Current Opinion in Cardiology 26, no. 3 (May 2011): 175–80. http://dx.doi.org/10.1097/hco.0b013e3283459857.

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Wong, Ka-Chun, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, and Cheng Liang. "DNA Sequencing Technologies." ACM Computing Surveys 52, no. 5 (October 19, 2019): 1–30. http://dx.doi.org/10.1145/3340286.

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Kling, Jim. "Ultrafast DNA sequencing." Nature Biotechnology 21, no. 12 (December 2003): 1425–27. http://dx.doi.org/10.1038/nbt1203-1425.

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Li, Chuan, and Philip W. Tucker. "Exoquence DNA sequencing." Nucleic Acids Research 21, no. 5 (1993): 1239–44. http://dx.doi.org/10.1093/nar/21.5.1239.

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Figureau, A., M. A. Soto, and J. Tohá. "Fast DNA sequencing." Medical Hypotheses 55, no. 1 (July 2000): 66–68. http://dx.doi.org/10.1054/mehy.1999.1026.

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Dissertations / Theses on the topic "DNA sequencing"

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Chen, Ying-Ja. "DNA sequencing by denaturation." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3359122.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed July 14, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 87-91).
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Leah, Labib. "Helicase Purification for DNA Sequencing." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31341.

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BACKGROUND: A method to increase accuracy and ease-of-use, while decreasing time and cost in deoxyribonucleic acid (DNA) sequence identification, is sought after. Helicase, which unwinds DNA, and avidin, which strongly attracts biotin for potential attraction of biotinylated DNA segments, were investigated for use in a novel DNA sequencing method. AIM: This study aimed to (1) purify bacteriophage T7 gene product 4 helicase and helicase-avidin fusion protein in a bacterial host and (2) characterize their functionality. METHODS: Helicase and helicase-avidin were cloned for purification from bacteria. Helicase-avidin was solubilised via urea denaturation/renaturation. DNA and biotin binding were assessed using Electrophoretic Mobility Shift Assays and biotinylated resins, respectively. RESULTS: (1) Helicase and helicase-avidin proteins were successfully purified. (2) Helicase protein was able to bind DNA and avidin protein strongly bound biotin. CONCLUSION: Helicase and helicase-avidin can be purified in a functional form from a bacterial host, thus supporting further investigation for DNA sequencing purposes.
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Boufounos, Petros T. 1977. "Signal processing for DNA sequencing." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/17536.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 83-86).
DNA sequencing is the process of determining the sequence of chemical bases in a particular DNA molecule-nature's blueprint of how life works. The advancement of biological science in has created a vast demand for sequencing methods, which needs to be addressed by automated equipment. This thesis tries to address one part of that process, known as base calling: it is the conversion of the electrical signal-the electropherogram--collected by the sequencing equipment to a sequence of letters drawn from ( A,TC,G ) that corresponds to the sequence in the molecule sequenced. This work formulates the problem as a pattern recognition problem, and observes its striking resemblance to the speech recognition problem. We, therefore, propose combining Hidden Markov Models and Artificial Neural Networks to solve it. In the formulation we derive an algorithm for training both models together. Furthermore, we devise a method to create very accurate training data, requiring minimal hand-labeling. We compare our method with the de facto standard, PHRED, and produce comparable results. Finally, we propose alternative HMM topologies that have the potential to significantly improve the performance of the method.
by Petros T. Boufounos.
M.Eng.and S.B.
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Blomstergren, Anna. "Strategies for de novo DNA sequencing." Doctoral thesis, KTH, Biotechnology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3649.

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The development of improved sequencing technologies hasenabled the field of genomics to evolve. Handling andsequencing of large numbers of samples require an increasedlevel of automation in order to obtain high throughput andconsistent quality. Improved performance has lead to thesequencing of numerous microbial genomes and a few genomes fromhigher eukaryotes and the benefits of comparing sequences bothwithin and between species are now becoming apparent. Thisthesis describes both the development of automated purificationmethods for DNA, mainly sequencing products, and a comparativesequencing project.

The initially developed purification technique is dedicatedto single stranded DNA containing vector specific sequences,exemplified by sequencing products. Specific capture probescoupled to paramagnetic beads together with stabilizing modularprobes hybridize to the single stranded target. After washing,the purified DNA can be released using water. When sequencingproducts are purified they can be directly loaded onto acapillary sequencer after elution. Since this approach isspecific it can be applied to multiplex sequencing products.Different probe sets are used for each sequencing product andthe purifications are performed iteratively.

The second purification approach, which can be applied to anumber of different targets, involves biotinylated PCR productsor sequencing products that are captured using streptavidinbeads. This has been described previously, buthere theinteraction between streptavidin and biotin can be disruptedwithout denaturing the streptavidin, enabling the re-use of thebeads. The relatively mild elution conditions also enable therelease of sensitive biotinylated molecules.

Another project described in this thesis is the comparativesequencing of the 40 kbcagpathogenicity island (PAI) in fourHelicobacter pyloristrains. The results included thediscovery of a novel gene, present in approximately half of theSwedish strains tested. In addition, one of the strainscontained a major rearrangement dividing thecagPAI into two parts. Further, information about thevariability of different genes could be obtained.

Keywords:DNA sequencing, DNA purification, automation,solid-phase, streptavidin, biotin, modular probes,Helicobacter pylori,cagPAI.

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Hu, Yue. "Microbial DNA Sequencing in Environmental Studies." Doctoral thesis, KTH, Skolan för bioteknologi (BIO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204897.

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The field of microbial ecology has just entered a new era of rapid technological development and generation of big data. The high-throughput sequencing techniques presently available provide an opportunity to extensively inventorize the blueprints of life. Now, millions of microbes of natural microbial communities can be studied simultaneously without prior cultivation. New species and new functions (genes) can be discovered just by mining sequencing data. However, there is still a tremendous number of microorganisms not yet examined, nor are the ecosystem functions these carry out. The modern genomic technologies can contribute to solve environmental problems and help us understand ecosystems, but to most efficiently do so, methods need to be continuously optimised.   During my Ph. D. studies, I developed a method to survey eukaryotic microbial diversity with a higher accuracy, and applied various sequencing-based approaches in an attempt to answer questions of importance in environmental research and ecology. In PAPER-I, we developed a set of 18S rRNA gene PCR primers with high taxonomic coverage, meeting the requirements of currently popular sequencing technologies and matching the richness of 18S rRNA reference sequences accumulated so far. In PAPER-II, we conducted the first sequencing-based spatial survey on the combined eukaryotic and bacterial planktonic community in the Baltic Sea to uncover the relationship of microbial diversity and environmental conditions. Here, the 18S primers designed in PAPER-I and a pair of broad-coverage 16S primers were employed to target the rRNA genes of protists and bacterioplankton for amplicon sequencing. In PAPER-III, we integrated metagenomic, metabarcoding, and metatranscriptomic data in an effort to scrutinise the protein synthesis potential (i.e., activity) of microbes in the sediment at a depth of 460 m in the Baltic Sea and, thus, disclosing microbial diversity and their possible ecological functions within such an extreme environment. Lastly, in PAPER-IV, we compared the performance of E. coli culturing, high-throughput sequencing, and portable real-time sequencing in tracking wastewater contamination in an urban stormwater system. From the aspects of cost, mobility and accuracy, we evaluated the usage of sequencing-based approaches in civil engineering, and for the first time, validated the real-time sequencing device in use within water quality monitoring.   In summary, these studies demonstrate how DNA sequencing of microbial communities can be applied in environmental monitoring and ecological research.

Yue Hu was supported by a scholarship from the China Scholarship Council (CSC #201206950024)

Yue Hu has been publishing papers under the name "Yue O. O. Hu".

QC 20170403

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Peng, Hongbo. "Towards hybridization-assisted nanopore DNA sequencing." View abstract/electronic edition; access limited to Brown University users, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3318349.

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Haan, Nicholas. "Statistical models and algorithms for DNA sequencing." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396070.

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Dezfouli, Mahya. "Barcoded DNA Sequencing for Parallel Protein Detection." Doctoral thesis, KTH, Genteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159506.

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The work presented in this thesis describes methodologies developed for integration and accurate interpretation of barcoded DNA, to empower large-scale-omics analysis. The objectives mainly aim at enabling multiplexed proteomic measurements in high-throughput format through DNA barcoding and massive parallel sequencing. The thesis is based on four scientific papers that focus on three main criteria; (i) to prepare reagents for large-scale affinity-proteomics, (ii) to present technical advances in barcoding systems for parallel protein detection, and (iii) address challenges in complex sequencing data analysis. In the first part, bio-conjugation of antibodies is assessed at significantly downscaled reagent quantities. This allows for selection of affinity binders without restrictions to accessibility in large amounts and purity from amine-containing buffers or stabilizer materials (Paper I). This is followed by DNA barcoding of antibodies using minimal reagent quantities. The procedure additionally enables efficient purification of barcoded antibodies from free remaining DNA residues to improve sensitivity and accuracy of the subsequent measurements (Paper II). By utilizing a solid-phase approach on magnetic beads, a high-throughput set-up is ready to be facilitated by automation. Subsequently, the applicability of prepared bio-conjugates for parallel protein detection is demonstrated in different types of standard immunoassays (Papers I and II). As the second part, the method immuno-sequencing (I-Seq) is presented for DNAmediated protein detection using barcoded antibodies. I-Seq achieved the detection of clinically relevant proteins in human blood plasma by parallel DNA readout (Paper II). The methodology is further developed to track antibody-antigen interaction events on suspension bead arrays, while being encapsulated in barcoded emulsion droplets (Paper III). The method, denoted compartmentalized immuno-sequencing (cI-Seq), is potent to perform specific detections with paired antibodies and can provide information on details of joint recognition events. Recent progress in technical developments of DNA sequencing has increased the interest in large-scale studies to analyze higher number of samples in parallel. The third part of this thesis focuses on addressing challenges of large-scale sequencing analysis. Decoding of a huge DNA-barcoded data is presented, aiming at phase-defined sequence investigation of canine MHC loci in over 3000 samples (Paper IV). The analysis revealed new single nucleotide variations and a notable number of novel haplotypes for the 2nd exon of DLA DRB1. Taken together, this thesis demonstrates emerging applications of barcoded sequencing in protein and DNA detection. Improvements through the barcoding systems for assay parallelization, de-convolution of antigen-antibody interactions, sequence variant analysis, as well as large-scale data interpretation would aid biomedical studies to achieve a deeper understanding of biological processes. The future perspectives of the developed methodologies may therefore stem for advancing large-scale omics investigations, particularly in the promising field of DNA-mediated proteomics, for highly multiplex studies of numerous samples at a notably improved molecular resolution.

QC 20150203

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Hu, Yuwei S. M. Massachusetts Institute of Technology, and Chin Soon Lim. "Scheduling of biological samples for DNA sequencing." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54214.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 95-97).
In a DNA sequencing workflow, a biological sample has to pass through multiple process steps. Two consecutive steps are hydroshearing and library construction. Samples arrive randomly into the inventory and are to complete both processes before their due dates. The research project is to decide the optimal sequence of samples to go through these two processes subject to operational constraints. Two approaches, namely, heuristic and integer programming have been pursued in this thesis. A heuristic algorithm is proposed to solve the scheduling problem. A variant of the problem involving deterministic arrivals of samples is also considered for comparison purposes. Comparison tests between the two approaches are carried out to investigate the performance of the proposed heuristic for the original problem and its variant. Sensitivity analysis of the schedule to parameters of the problem is also conducted when using both approaches.
by Yuwei Hu and Chin Soon Lim.
S.M.
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Santiago, Garcia Eric, and Aspåker Hannes Salomonsson. "Temporal Convolutional Networks for Nanopore DNA Sequencing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295625.

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Nanopore DNA sequencing is a novel method forsequencing DNA where an electronic signal is modulated bynucleotides passing through nanosized pores embedded in a mem-brane. While current state-of-the-art solutions employ recurrentneural networks to analyse the signal, temporal convolutionalnetworks have recently been shown to match or outperformrecurrent networks in signal processing tasks. In this project, weinvestigate the performance of temporal convolutional networkson a simplified version of the sequencing task, where thegoal is to predict the nucleotides passing through the pore ateach instance in time, without reconstructing the correspondingDNA sequence. The impact of several network parameters onpredictive performance is analysed to determine an optimalarchitecture. While the implemented networks are shown tobe proficient at predicting nucleotides within the pore, thecurrent implementation is unlikely to outperform state-of-the-art solutions without further improvement.
En nyligen utvecklad metod för att sekvensera DNA innefattar att en elektrisk signal moduleras genom att nukleotider passerar genom porer i nanostorlek. I kommersiella lösningar analyseras denna signal med hjälp av maskininlärning via Recurrent Neural Networks, men en variant av neruala nätverk som kallas Temporal Convolution Networks har nyligen har visat sig ha bättre prestanda jämfört med Recurrent Networks för olika typer av signalbehandlingsproblem. Målet med detta projekt är att undersöka användbarheten av Temporal Convolutional Networks för en förenklad version av DNA-sekvensering, där uppdraget endast är att identifera de nukleotider som passerar genom poren vid varje given tidpunkt, istället för att rekonstruera en komplett DNA-sekvens. För att kunna bestämma en optimal arkitektur på nätverket så undersöks effekten av flera olika parametrar. De implementerade nätverken visas ha god förmåga att klassificera nukleotider, men är troligtvis i behov av ytterligare förbättringar för att kunna konkurrera med nuvarande kommersiella lösningar.
Kandidatexjobb i elektroteknik 2020, KTH, Stockholm
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Books on the topic "DNA sequencing"

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1942-, Roe Bruce A., ed. DNA sequencing. San Diego: Academic Press, 1991.

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DNA sequencing. New York: Springer, 1997.

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Alphey, Dr Luke. DNA Sequencing. London: Garland Science, 2023. http://dx.doi.org/10.1201/9781003423737.

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Griffin, Annette M., and Hugh G. Griffin. DNA Sequencing Protocols. New Jersey: Humana Press, 1993. http://dx.doi.org/10.1385/0896032485.

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Graham, Colin A., and Alison J. M. Hill. DNA Sequencing Protocols. New Jersey: Humana Press, 2001. http://dx.doi.org/10.1385/1592591132.

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Corsi, Patrick, and Dominique Morin. Sequencing Apple's DNA. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119261575.

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William, Lowry, Morrey John, and Taped Technologies Production, eds. DNA sequencing [videorecording]. Logan: Taped Technologies, 1990.

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Roe, Bruce A. DNA isolation and sequencing. New York: John Wiley & Sons, 1996.

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DNA sequencing: The basics. Oxford: Oxford University Press, 1994.

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Kresten, Ovesen, and Matthiesen Ulrich, eds. DNA fingerprinting, sequencing, and chips. Hauppauge, NY: Nova Science Publishers, 2009.

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Book chapters on the topic "DNA sequencing"

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Alphey, Luke. "Confirmatory Sequencing." In DNA Sequencing, 89–96. London: Garland Science, 2023. http://dx.doi.org/10.1201/9781003423737-11.

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Surzycki, Stefan. "DNA Sequencing." In Basic Techniques in Molecular Biology, 374–405. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-56968-5_15.

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Jankevics, Eriks. "DNA Sequencing." In Basic Cloning Procedures, 22–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-71965-3_2.

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Briones, Carlos. "DNA Sequencing." In Encyclopedia of Astrobiology, 675. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_453.

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Spencer, Chris. "DNA Sequencing." In Springer Protocols Handbooks, 95–108. Totowa, NJ: Humana Press, 1998. http://dx.doi.org/10.1007/978-1-59259-642-3_10.

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Briones, Carlos. "DNA Sequencing." In Encyclopedia of Astrobiology, 453. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_453.

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Lozano-Kühne, Jingky. "DNA Sequencing." In Encyclopedia of Systems Biology, 615. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1294.

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Badge, Jo. "DNA Sequencing." In Plant Virology Protocols, 307–18. Totowa, NJ: Humana Press, 1998. http://dx.doi.org/10.1385/0-89603-385-6:307.

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Volckaert, Guido, Peter Verhasselt, Marleen Voet, and Johan Robben. "DNA Sequencing." In Biotechnology, 257–315. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620838.ch8.

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Li, Lei M. "DNA Sequencing." In Selected Works of Terry Speed, 535–61. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1347-9_13.

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Conference papers on the topic "DNA sequencing"

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Myers, Gene. "Advances in DNA sequencing." In the Paris C. Kanellakis memorial workshop. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/778348.778350.

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Gholami, Ali, Mohammad Ali Maddah-Ali, and Seyed Abolfazl Motahari. "Private Shotgun DNA Sequencing." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849382.

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Mastrangelo, Carlos H., S. Palaniappan, Piu Francis Man, Mark A. Burns, and David T. Burke. "Microchips for DNA sequencing." In Symposium on Micromachining and Microfabrication, edited by Chong H. Ahn and A. Bruno Frazier. SPIE, 1999. http://dx.doi.org/10.1117/12.359324.

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Wu, ZhongPan, Karim Hammad, Yunus Dawji, Ebrahim Ghafar-Zadeh, and Sebastian Magierowski. "Hardware Accelerated DNA Sequencing." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2018. http://dx.doi.org/10.1109/mwscas.2018.8623915.

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Zhang, Yunpeng, Dafang Zhang, Peng Sun, and Feng Guo. "DNA Sequencing Puzzle Based DNA Cryptography Algorithm." In Modelling, Simulation and Identification / 854: Intelligent Systems and Control. Calgary,AB,Canada: ACTAPRESS, 2017. http://dx.doi.org/10.2316/p.2017.853-022.

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Zwolak, Michael, and Massimiliano Di Ventra. "DNA sequencing via electron tunneling." In 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012. IEEE, 2012. http://dx.doi.org/10.1109/iscas.2012.6271753.

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Conde-Canencia, Laura, and Lara Dolecek. "Nanopore DNA Sequencing Channel Modeling." In 2018 IEEE International Workshop on Signal Processing Systems (SiPS). IEEE, 2018. http://dx.doi.org/10.1109/sips.2018.8598361.

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Haan and Godsill. "Bayesian models for DNA sequencing." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004800.

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Haan, Nicholas M., and Simon J. Godsill. "Bayesian models for DNA sequencing." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745539.

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Palaniappan, Kannappan, and Thomas S. Huang. "Image analysis for DNA sequencing." In Electronic Imaging '91, San Jose,CA, edited by Alan C. Bovik and Vyvyan Howard. SPIE, 1991. http://dx.doi.org/10.1117/12.44310.

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Reports on the topic "DNA sequencing"

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Haugland, R. P. Fluorescence-detected DNA sequencing. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/5619036.

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Berg, D. E., C. M. Berg, and H. V. Huang. Transposon facilitated DNA sequencing. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6278108.

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Schecker, J. The rapid DNA sequencing project. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/766181.

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Dr. Barry Karger. DNA Sequencing Using capillary Electrophoresis. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1013010.

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Formenti, Giulio. The race to improve DNA sequencing. Edited by S. Vicknesan. Monash University, February 2023. http://dx.doi.org/10.54377/faba-ccff.

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Mathies, R. A. Ultrasensitive fluorescence detection of DNA sequencing gels. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/5060142.

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Balch, J., J. Davidson, L. Brewer, J. Gingrich, J. Koo, R. Mariella, and A. Carrano. Advanced microinstrumentation for rapid DNA sequencing and large DNA fragment separation. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/105702.

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Naca, Christine. Ergonomics in DNA Sequencing: Standing Down to Ergonomics. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/966050.

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Ulanovsky, L. DNA sequencing technology, walking with modular primers. Final report. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/353379.

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Barron, A. Microchannel DNA Sequencing by End-Labelled Free Solution Electrophoresis. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/877170.

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