Academic literature on the topic 'Automated DNA extraction'

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Journal articles on the topic "Automated DNA extraction"

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Sanqoor, Afra Naqib, Fatma Altamimi, Naeema Aljanahi, et al. "Comparative Study of Two Semi-automated Forensic DNA Extraction Methods." Arab Journal of Forensic Sciences and Forensic Medicine 5, no. 2 (2023): 180–90. http://dx.doi.org/10.26735/yskr7711.

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Automation in forensic DNA analysis is crucial for analysts to reduce time, improve results, and decrease risk of contamination. With the variety of commercially available automated DNA extraction systems, comes the need for end-users to be informed of what they provide and what they might lack. Thus, this study aimed to evaluate the efficiency of two semi-automated DNA extraction systems used for forensic DNA analysis: Automate Express™ and Hamilton Microlab STAR™ system, for four parameters; reproducibility, stability, sensitivity and contamination. Overall, the results indicated that both s
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Côté, Annie, Manon Landry, Sara-Kim Rochette, Karine Gibson, Martine Lapointe, and Vahé Sarafian. "Automated DNA extraction from large volumes." Forensic Science International: Genetics Supplement Series 1, no. 1 (2008): 22–23. http://dx.doi.org/10.1016/j.fsigss.2007.10.216.

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Stangegaard, Michael, Benjamin B. Hjort, Thomas N. Hansen, Anders J. Hansen, and Niels Morling. "Automated extraction of DNA from clothing." Forensic Science International: Genetics Supplement Series 3, no. 1 (2011): e403-e404. http://dx.doi.org/10.1016/j.fsigss.2011.09.063.

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Brevnov, Maxim, Janna Mundt, Jacki Benfield, et al. "Automated Extraction of DNA from Forensic Sample Types Using the PrepFiler Automated Forensic DNA Extraction Kit." Journal of the Association for Laboratory Automation 14, no. 5 (2009): 294–302. http://dx.doi.org/10.1016/j.jala.2009.06.006.

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Liu, Andrew W., Alejandro Villar-Briones, Nicholas M. Luscombe, and Charles Plessy. "Automated phenol-chloroform extraction of high molecular weight genomic DNA for use in long-read single-molecule sequencing." F1000Research 11 (February 28, 2022): 240. http://dx.doi.org/10.12688/f1000research.109251.1.

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Background: Automation has increasingly become more commonplace in the research laboratory workspace. The introduction of articulated robotic arms allows the researcher more flexibility in the tasks a single piece of automated machinery can perform. We set out to incorporate automation in processing of genomic DNA organic extractions to increase throughput and limit researchers to the exposure of organic solvents. Methods: In order to automate the genome sequencing pipeline in our laboratory, we programmed a dual-arm anthropomorphic robot, the Robotic Biology Institute's Maholo LabDroid, to pe
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Williams, Sheri M., Cindy A. Meadows, and Elaine Lyon. "Automated DNA Extraction for Real-Time PCR." Clinical Chemistry 48, no. 9 (2002): 1629–30. http://dx.doi.org/10.1093/clinchem/48.9.1629.

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Guertler, Patrick, Adelina Eicheldinger, Paul Muschler, Ottmar Goerlich, and Ulrich Busch. "Automated DNA extraction from pollen in honey." Food Chemistry 149 (April 2014): 302–6. http://dx.doi.org/10.1016/j.foodchem.2013.10.129.

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Fujii, Koji, Shota Inokuchi, Tetsushi Kitayama, Hiroaki Nakahara, Natsuko Mizuno, and Kazumasa Sekiguchi. "DNA Extraction From Various Forensic Samples Using Automated Extraction Instruments." Japanese Journal of Forensic Science and Technology 17, no. 1 (2012): 15–26. http://dx.doi.org/10.3408/jafst.17.15.

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Bogožalec Košir, Alexandra, Dane Lužnik, Viktorija Tomič, and Mojca Milavec. "Evaluation of DNA Extraction Methods for Reliable Quantification of Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa." Biosensors 13, no. 4 (2023): 463. http://dx.doi.org/10.3390/bios13040463.

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Detection and quantification of DNA biomarkers relies heavily on the yield and quality of DNA obtained by extraction from different matrices. Although a large number of studies have compared the yields of different extraction methods, the repeatability and intermediate precision of these methods have been largely overlooked. In the present study, five extraction methods were evaluated, using digital PCR, to determine their efficiency in extracting DNA from three different Gram-negative bacteria in sputum samples. The performance of two automated methods (GXT NA and QuickPick genomic DNA extrac
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Cangi, Nídia, Valérie Pinarello, Laure Bournez, et al. "Efficient high-throughput molecular method to detect Ehrlichia ruminantium in ticks." Parasites & Vectors 10, no. 1 (2017): 566. https://doi.org/10.1186/s13071-017-2490-0.

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<strong>Background: </strong> <i>Ehrlichia ruminantium</i> is the causal agent of heartwater, a fatal tropical disease affecting ruminants with important economic impacts. This bacterium is transmitted by <i>Amblyomma</i> ticks and is present in sub-Saharan Africa, islands in the Indian Ocean and the Caribbean, where it represents a threat to the American mainland.<strong>Methods: </strong>An automated DNA extraction method was adapted for <i>Amblyomma</i> ticks and a new qPCR targeting the <i>pCS20</i> region was developed to improve <i>E. ruminantium</i> screening capacity and diagnosis. The
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Dissertations / Theses on the topic "Automated DNA extraction"

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Lam, Yiu-pong, and 林耀邦. "Performance evaluation of the automated NucliSens easyMAG and Qiagen EZ1 Advanced XL nucleic acid extraction platform for detection of RNAand DNA viruses in clinical samples." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46448020.

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Yi-Jie and 李宜潔. "Determination of global DNA methylation by Lc-MS/MS with automated solid-phase extraction." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/17468002369909665212.

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碩士<br>中山醫學大學<br>醫學分子毒理學研究所<br>99<br>A high-throughput liquid chromatography/tandem mass spectrometry (LC-MS/MS) method coupled with an on-line solid-phase extraction (SPE) system was developed to simultaneously determine 2&apos;&apos;-deoxycytidine (dC) and 5-methyl-2&apos;&apos;-deoxycytidine (5-medC) in DNA hydrolysates. With the use of isotopic internal standards and online SPE, this method exhibited low limit of detections (LODs) of 17 and 4 fmol on column for dC and 5-medC, respectively, and a total analysis time per sample as short as 10 min. This method was further applied to evaluate t
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Tsai, Yi-Hung, and 蔡依虹. "Determination of global DNA methylation and hydroxymethylation by LC-MS/MS with automated solid-phase extraction." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/23393712674209450483.

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碩士<br>中山醫學大學<br>職業安全衛生學系碩士班<br>102<br>A highly specific and sensitive liquid chromatography–tandem mass spectrometry method was first developed for simultaneously measuring 5-methyl-2’-deoxycytidine (5-mdC) and 5-hydroxymethyl-2’-deoxycytidine (5-hmdC) in DNA and urine. With the use of isotope internal standards (d3-5-mdC and d3-5-hmdC) and on-line solid-phase extraction, the detected limits of this method were 0.054 and 0.132 fmol on column for 5-mdC and 5-hmdC, respectively, and a total analysis time per sample as short as 15 min. Inter- and intraday imprecision was <10 % and the mean recove
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Huang, Bai-Song, and 黃百崧. "Development of a neutral loss-based DNA adductomic method using LC-QqQ-MS with automated solid-phase extraction." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/11804307697608372373.

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碩士<br>中山醫學大學<br>職業安全衛生學系碩士班<br>104<br>We developed a DNA adductomics methodology using liquid chromatography-triple quadrupole tandem mass spectrometry (LC-QqQ-MS). By using the constant neutral loss (CNL) scanning mode, we are able to comprehensively detect the DNA adducts resulting from the CNL loss of 2’-deoxyribose. We firstly optimized the parameters of electrospray ionization (ESI)-QqQ-MS using a 18 nucleosides standard mixture solution. These parameters included ESI temperature, declustering potential (DP) and collision energy (CE). The optimized parameters are found to be: ESI temperat
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Book chapters on the topic "Automated DNA extraction"

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Zhuang, Bin. "Integrated Module for Automated DNA Extraction and Amplification." In Development of a Fully Integrated “Sample-In-Answer-Out” System for Automatic Genetic Analysis. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4753-4_3.

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Foley, Megan M. "Applied Biosystems™ PrepFiler™ Forensic DNA Extraction Kit (Manual and Semi-automated via AutoMate Express™)." In Forensic DNA Analysis. Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3295-6_4.

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Mehle, Nataša, Petra Nikolić, Matevž Rupar, Jana Boben, Maja Ravnikar, and Marina Dermastia. "Automated DNA Extraction for Large Numbers of Plant Samples." In Methods in Molecular Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-089-2_12.

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Lorenz, Michael G., Claudia Disqué, and Helge Mühl. "Bacterial and Fungal DNA Extraction from Blood Samples: Automated Protocols." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1776-1_12.

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Roy, R., D. L. Steffens, B. O. Gartside, G. Y. Jang, and J. A. Brumbaugh. "STR Typing without DNA Extraction Using an Infrared-Based Non-Radioactive Automated DNA Sequencer." In 16th Congress of the International Society for Forensic Haemogenetics (Internationale Gesellschaft für forensische Hämogenetik e.V.), Santiago de Compostela, 12–16 September 1995. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80029-0_114.

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Mäki, Minna. "Bacterial and Fungal DNA Extraction from Positive Blood Culture Bottles: A Manual and an Automated Protocol." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1776-1_6.

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Cooper, Lynn A., Luke T. Daum, Robert Roudabush, and Kenton L. Lohman. "Molecular Identification of Campylobacter coli and Campylobacter jejuni Using Automated DNA Extraction and Real-Time PCR with Species-Specific TaqMan Probes." In Rapid Cycle Real-Time PCR — Methods and Applications. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-48351-6_14.

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Wolf, Alexander, Katharina Beller, Sebastian Groemminger, Wera Hofmann, Matthias Sachse, and Jana Fassunke. "Purification of Circulating Cell-Free DNA from Plasma and Urine Using the Automated Large-Volume Extraction on the QIAsymphony® SP Instrument." In Advances in Experimental Medicine and Biology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42044-8_33.

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Bartel, J., W. Koegel, M. Weizenegger, and Ingelore Pampel. "Evaluation of an Automated DNA-Extractor for DNA-Profiling." In Acta Medicinæ Legalis Vol. XLIV 1994. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79523-7_5.

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Broccolo, Francesco. "A Multiplex Real-Time PCR-Platform Integrated into Automated Extraction Method for the Rapid Detection and Measurement of Oncogenic HPV Type-Specific Viral DNA Load from Cervical Samples." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0733-5_8.

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Conference papers on the topic "Automated DNA extraction"

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Whulanza, Yudan, Andriko Indriantomo, Cosmas Nurdiyantoko, and Ridho Irwansyah. "Characterisation of Microfluidic Systems for Automated Extraction Device of DNA Sampling." In Seminar Nasional Tahunan Teknik Mesin XXII 2024. Badan Kerja Sama Teknik Mesin Indonesia, 2025. https://doi.org/10.71452/590886.

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Gramstad, Oddgeir, Jan Øystein, Haavig Bakke, and Jarle Haukås. "Automated salt interpretation: Part 1 — Extrema surface extraction guided by a DNA-inspired search method." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17736226.1.

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Zhang, Yi, and Tza-Huei Wang. "An automated all-in-one microfludic device for parallel solid phase DNA extraction and droplet-inoil PCR analysis." In 2010 IEEE 23rd International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2010. http://dx.doi.org/10.1109/memsys.2010.5442370.

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Niland, Erin, Audrey D. McGuire, Mary L. Cox, and George E. Sandusky. "Abstract 3203: High quality DNA obtained with an automated DNA Extraction method with 15 to 40 year old formalin fixed paraffin embedded (FFPE) blocks from normal and cancer tissues." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-3203.

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Proto-Siqueira, R., C. Pugliesi, S. Lanes, and L. Dame. "FAST AND COST-EFFECTIVE RNA EXTRACTION IN ONCO-HEMATOLOGY LABORATORIES." In Resumos do 55º Congresso Brasileiro de Patologia Clínica/Medicina Laboratorial. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s2.7871.

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Objective: Chronic myeloid leukemia (CML) requires accurate detection and quantification of the BCR-ABL1 rearrangement for diagnosis and therapy monitoring. We present a novel strategy using the EXTRACTA-MPTA automated magnetic DNA/RNA-extraction kit for CML diagnosis, utilizing only 2 ml of peripheral blood (PB). Method: We calibrated our kit using ERM-AD263 and UK-NEQAS for quality assurance. RNA was extracted from 40 PB samples using TRIZOL (8 ml of PB) and MPTA (2 ml of PB). Statistical comparisons were performed for BCR-ABL1 quantification, BCR-ABL1 IS%, and BCR quantification. Reproducib
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Nakashima, Chiho, Akemi Sato, Tomonori Abe, et al. "Abstract 2751: Automatic DNA extraction system can improve theEGFRpoint mutation detection rate of liquid biopsy." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-2751.

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Athaydes, Aline, Lucas Krug Bulcao, Caio Sacramento, et al. "Brazilian Consumer Protection Code: a methodology for a dataset to Question-Answer (QA) Models." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/stil.2024.31168.

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This work introduces the methodology for building a new dataset based onthe Brazilian Consumer Protection Code (CDC), focusing on question-answer (QA) models. The dataset collected legal data, including CDC articles, legal summaries, and court rulings from the Superior Court of Justice (STJ). Automated data extraction techniques using Python were employed, and advanced language models such as Llama3-8b-8192, Gemma2-9b-it, and GPT-4o-mini were used to generate question-answer (QA) structures. This work presents our methodology for creating such a dataset to be used by language models for traini
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Owensby, Eric, Essam Z. Namouz, Aravind Shanthakumar, and Joshua D. Summers. "Representation: Extracting Mate Complexity From Assembly Models to Automatically Predict Assembly Times." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70995.

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The work in this paper uses neural networks to develop a relationship model between assembly times and complexity metrics applied to defined mate connections within SolidWorks assembly models. This model is then used to develop a Design for Assembly (DFA) automation tool that can predict a product’s assembly time using defined mate connections within SolidWorks assembly models. The development of this new method consists of: creating a SolidWorks (SW) Add-in to automatically extract the mate connections from SW assembly models, parsing the mate connections into graphs, implementing a new compl
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Miki, Daisuke, and Kazuyuki Demachi. "Weakly Supervised Deep Neural Network for Bearing Fault Diagnosis." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16380.

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Abstract Bearings are one of the main components of rotating machinery, and their failure is one of the most common cause of mechanical failure. Therefore, many fault detection methods based on artificial intelligence, such as machine learning and deep learning, have been proposed. Particularly, with recent advances in deep learning, many anomaly detection methods based on deep neural networks (DNN) have been proposed. DNNs provide high-performance recognition and are easy to implement; however, optimizing DNNs require large annotated datasets. Additionally, the annotation of time-series data,
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Kumar, Ankit, and Amit Priyadarshan. "Well-Integrity Assessment Across Different Geological Areas by Deriving Insights from Complex Knowledge Base." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211240-ms.

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Abstract Over the lifetime of multiple wells, in different fields, data produced from integrity assessment of the casing and mechanical parts of oil and gas wells accumulates to huge amounts and diversity. Knowledge derived from these test records can help in integrity assessment of other wells and explain contributing factors. This paper presents application of a unique Deep-Learning algorithm, to automate well-integrity assessment by extracting entire knowledge from an existing database of millions of integrity-tests, using a complex Deep Neural Network (DNN), and transfer this knowledge int
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Reports on the topic "Automated DNA extraction"

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Gonzalez Tirado, Daniella, Brooke Bass, J. Werking, R. Lagace, Jack Ballantyne, and Erin Hanson. Development of a Simple Differential Extraction Method for Analysis of Forensic Sexual Assault Evidence Using the RapidHIT IDTM. Florida International University, 2024. https://doi.org/10.25148/gfjcsr.2024.4.

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Rapid DNA represents a novel forensic technology, wherein the sample analysis process, from DNA extraction to capillary electrophoresis, is fully automated and carried out without the need for human intervention. This technology allows for short-tandem repeat (STR) DNA profiles to be generated in as little as 90 minutes, as opposed to the hours to days of sample preparation and extraction required in casework laboratories.
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