Academic literature on the topic 'High throughput sequencing (NGS)'
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Journal articles on the topic "High throughput sequencing (NGS)"
Montmayeur, Anna M., Terry Fei Fan Ng, Alexander Schmidt, Kun Zhao, Laura Magaña, Jane Iber, Christina J. Castro, et al. "High-Throughput Next-Generation Sequencing of Polioviruses." Journal of Clinical Microbiology 55, no. 2 (December 7, 2016): 606–15. http://dx.doi.org/10.1128/jcm.02121-16.
Full textLi, Niannian, Kairang Jin, Yanmin Bai, Haifeng Fu, Lin Liu, and Bin Liu. "Tn5 Transposase Applied in Genomics Research." International Journal of Molecular Sciences 21, no. 21 (November 6, 2020): 8329. http://dx.doi.org/10.3390/ijms21218329.
Full textSuravajhala, Prashanth, and Alexey Goltsov. "Three Grand Challenges in High Throughput Omics Technologies." Biomolecules 12, no. 9 (September 4, 2022): 1238. http://dx.doi.org/10.3390/biom12091238.
Full textSaeed, Muhammad, Zainab Jamil, Tayyab Shehzad, Syed Zia ul Hasan, Riffat Bibi, Safia Naureen Malik, Hafiz Matee-ur-Rehman, and Raees Ahmed. "Role of Next Generation Sequencing (NGS) in Plant Disease Management: A Review." Journal of Applied Research in Plant Sciences 4, no. 01 (February 23, 2023): 512–17. http://dx.doi.org/10.38211/joarps.2023.04.01.61.
Full textWilliams, Gareth Haydn, Robert Paul Thatcher, Tiffany Eira Haddow, Keeda-Marie Hardisty, and Marco Loddo. "Immunofocus-PD-L1 high throughput quantitative next generation sequencing assay." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e13521-e13521. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e13521.
Full textKechin, Andrey, Viktoria Borobova, Ulyana Boyarskikh, Evgeniy Khrapov, Sergey Subbotin, and Maxim Filipenko. "NGS-PrimerPlex: High-throughput primer design for multiplex polymerase chain reactions." PLOS Computational Biology 16, no. 12 (December 30, 2020): e1008468. http://dx.doi.org/10.1371/journal.pcbi.1008468.
Full textWang, Qi, Lijuan Cao, Guangying Sheng, Hongjie Shen, Jing Ling, Jundan Xie, Zhenni Ma, et al. "Application of High-Throughput Sequencing in the Diagnosis of Inherited Thrombocytopenia." Clinical and Applied Thrombosis/Hemostasis 24, no. 9_suppl (August 13, 2018): 94S—103S. http://dx.doi.org/10.1177/1076029618790696.
Full textWang, Jia-Wang, Wenxiu Zhang, Yan Zhang, Jiajia Zhou, Jing Li, Min Zhang, Shanshan Wen, et al. "Reproducible and high sample throughput isomiR next-generation sequencing for cancer diagnosis." Journal of Clinical Oncology 42, no. 16_suppl (June 1, 2024): e15013-e15013. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e15013.
Full textTripathi, Pooja, Jyotsna Singh, Jonathan A. Lal, and Vijay Tripathi. "Next-Generation Sequencing: An Emerging Tool for Drug Designing." Current Pharmaceutical Design 25, no. 31 (November 14, 2019): 3350–57. http://dx.doi.org/10.2174/1381612825666190911155508.
Full textChae, H., S. Rhee, K. P. Nephew, and S. Kim. "BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data." Bioinformatics 31, no. 2 (September 29, 2014): 265–67. http://dx.doi.org/10.1093/bioinformatics/btu614.
Full textDissertations / Theses on the topic "High throughput sequencing (NGS)"
Kawalia, Amit [Verfasser], Peter [Gutachter] Nürnberg, and Michael [Gutachter] Nothnagel. "Addressing NGS Data Challenges: Efficient High Throughput Processing and Sequencing Error Detection / Amit Kawalia ; Gutachter: Peter Nürnberg, Michael Nothnagel." Köln : Universitäts- und Stadtbibliothek Köln, 2016. http://d-nb.info/112370368X/34.
Full textBisseux, Maxime. "Dynamique de la circulation des Entérovirus de l'homme à l'environnement : Etude par séquençage haut débit." Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAS013.
Full textEnterovirus (EV) are Picornaviruses (non-enveloped, positive-sense RNA viruses), characterized by a large genetic and antigenic diversity (116 types classified within 4 taxonomic species EV-A to D) and rapid evolution. Human infections are frequent, highly contagious from stools and occur as outbreaks. The infections are mainly asymptomatic or benign but severe or fatal cases can be reported in young children. Poliomyelitis is the model EV infection. Combined with clinical and virological surveillance, mass vaccination is closer than ever to achieve the WHO program of the Global Polio Eradication Initiative. However, the detection of wild type polioviruses in polio-free countries and the recent worldwide emergence of non-polio enteroviruses (EV-A71, EV-D68) associated with severe clinical manifestations underscore the importance of surveilling EV circulation in the general population. The aim of the PhD thesis was the detection and identification of EV strains in wastewater treated in the sewage treatment plant at Clermont-Ferrand (France). The viral data were compared with those reported through clinical surveillance to obtain a comprehensive picture of the viral circulation in the local population. A method was developed to concentrate viruses from raw and treated wastewater and molecular assays were used to detect EVs and 6 other human enteric viruses. The viral genomes were detected in all samples from October 2014 to October 2015, with a median of 6 and 4 different viruses in raw and treated wastewater respectively. Phylogenetic analysis of viral sequences (EV, hepatitis A and E viruses) determined in wastewater and reported in patients during the sampling period, showed the efficiency of the method for surveilling enteric viruses in the community. The EV diversity in raw wastewater was analyzed by sequencing of amplicons with the Illumina high throughput technology (metabarcoding). The analysis revealed a large viral diversity and the silent circulation of 25 types not detected from hospital data (in particular 9 EV-C, of which sequences of vaccine poliovirus 1). The phylogenetic analyses of intra-typic variants showed different epidemic patterns in the predominant EV types circulating over the study period. The data demonstrate the feasibility and sensitivity of the strategy developed for the detection and characterization of EV in wastewater and provide a future prospect for the implementation of environmental surveillance of non-polio EV infections in epidemiological studies, epidemic prevention, and for health alert. Combining the surveillance of enteric viruses in the environment and in the clinical setting allows a better understanding of their prevalence. This global approach of virus circulation and ecological health represents an important investment for laboratories, which will require integration in national and international collaboration networks beyond the scope of enterovirus surveillance
Nemoz, Benjamin. "Exploration longitudinale à haut débit et en cellule unique du répertoire d'anticorps neutralisants à large spectre chez un neutraliseur d'élite du VIH-1." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALV012.
Full textHuman Immunodeficiency Virus type 1 (HIV-1) infection remains a major global health concern, with an estimated 37.7 million people living with the virus worldwide and new contaminations above a million cases yearly. Efficient anti-retroviral therapies are available, allowing a sustained relief for infected individuals. These therapeutics have also contributed to a better prevention and helped curb the epidemic, notably in high-income countries. However, a vaccine is still highly awaited for controlling this epidemic, especially in lower-income regions and precarious settings.The protective role of neutralizing antibodies (NAbs) has been unequivocally demonstrated in both animal models of HIV infection and in human settings. Consequently, the development of a B-cell-based vaccine capable of eliciting antibodies (Abs) with the ability to neutralize the majority of circulating viruses, namely broadly NAbs (bNAbs), could be foreseen as an answer to the HIV pandemic.The investigation of bNAb development in HIV-1 elite neutralizers provides valuable insights to inform the design of such vaccines. To date, most of the undertaken studies have relied on conventional single B-cell FACS sorting to isolate bNAbs. In the present study, we have used the Chromium Single Cell Immune Profiling approach to conduct a high-throughput longitudinal single-cell exploration of the B-cell repertoire in an HIV-1 elite neutralizer. Importantly, this novel method enables the use of a much greater number of HIV envelope glycoprotein (Env) baits compared to regular FACS-based Ab isolation studies, providing a more comprehensive view of the anti-Env Ab repertoire. In addition, this approach yields a wealth of information on the nature of the specific Abs identified and the corresponding B-cells.The study enabled the uncovering of the sequence of 12,130 putative HIV Env specific Abs. Antibodies from 39 lineages were produced and tested for neutralization, revealing 21 distinct neutralizing lineages. The results thus demonstrated the ability of the method to explore large antigen-specific Ab repertoires from longitudinal samples. The neutralizing activity of Abs from four neutralizing lineages together recapitulated the serum activity of the donor, achieving neutralization against 62.4 % of a large predictive panel of 126 pseudoviruses. One of these neutralizing Ab lineages was shown to target the gp120 high-mannose patch supersite with great breadth and potency; Abs from this lineage were sensitive to the presence of a glycan in position N332. A single of those Abs achieved most of the neutralization breadth (51.1 %) with a high potency (mean IC50 of 91.1 ng.mL-1). This Ab exhibited a 23 AA-long CDRH3 and 20 % somatic hypermutation (SMH). The lineage showed continuous evolution over 6.5 years of maturation, with observed SHM rates ranging from 2.0 % to 30.6 % for the heavy chain, without any insertions or deletions.Conventional FACS-based sorting was previously used to isolate bNAbs from the same donor. In comparison, the single cell high-throughput approach made possible the isolation of orders of magnitude more Abs. Furthermore, the newly isolated NAbs were overall more potent and broader than those isolated previously, indicating the superiority of the novel method in recovering neutralizing lineages. Ongoing structural studies will elucidate the epitopes responsible for the broad neutralization observed in this donor. Together, the findings may help the design of reverse vaccine approaches, which show promise in the development of an effective AIDS vaccine
Horton, Dean J. "Using molecular techniques to investigate soil invertebrate communities in temperate forests." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1448799316.
Full textRoguski, Łukasz 1987. "High-throughput sequencing data compression." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/565775.
Full textGràcies als avenços en el camp de les tecnologies de seqüenciació, en els darrers anys la recerca biomèdica ha viscut una revolució, que ha tingut com un dels resultats l'explosió del volum de dades genòmiques generades arreu del món. La mida típica de les dades de seqüenciació generades en experiments d'escala mitjana acostuma a situar-se en un rang entre deu i cent gigabytes, que s'emmagatzemen en diversos arxius en diferents formats produïts en cada experiment. Els formats estàndards actuals de facto de representació de dades genòmiques són en format textual. Per raons pràctiques, les dades necessiten ser emmagatzemades en format comprimit. En la majoria dels casos, aquests mètodes de compressió es basen en compressors de text de caràcter general, com ara gzip. Amb tot, no permeten explotar els models d'informació especifícs de dades de seqüenciació. És per això que proporcionen funcionalitats limitades i estalvi insuficient d'espai d'emmagatzematge. Això explica per què operacions relativament bàsiques, com ara el processament, l'emmagatzematge i la transferència de dades genòmiques, s'han convertit en un dels principals obstacles de processos actuals d'anàlisi. Per tot això, aquesta tesi se centra en mètodes d'emmagatzematge i compressió eficients de dades generades en experiments de sequenciació. En primer lloc, proposem un compressor innovador d'arxius FASTQ de propòsit general. A diferència de gzip, aquest compressor permet reduir de manera significativa la mida de l'arxiu resultant del procés de compressió. A més a més, aquesta eina permet processar les dades a una velocitat alta. A continuació, presentem mètodes de compressió que fan ús de l'alta redundància de seqüències present en les dades de seqüenciació. Aquests mètodes obtenen la millor ratio de compressió d'entre els compressors FASTQ del marc teòric actual, sense fer ús de cap referència externa. També mostrem aproximacions de compressió amb pèrdua per emmagatzemar dades de seqüenciació auxiliars, que permeten reduir encara més la mida de les dades. En últim lloc, aportem un sistema flexible de compressió i un format de dades. Aquest sistema fa possible generar de manera semi-automàtica solucions de compressió que no estan lligades a cap mena de format específic d'arxius de dades genòmiques. Per tal de facilitar la gestió complexa de dades, diversos conjunts de dades amb formats heterogenis poden ser emmagatzemats en contenidors configurables amb l'opció de dur a terme consultes personalitzades sobre les dades emmagatzemades. A més a més, exposem que les solucions simples basades en el nostre sistema poden obtenir resultats comparables als compressors de format específic de l'estat de l'art. En resum, les solucions desenvolupades i descrites en aquesta tesi poden ser incorporades amb facilitat en processos d'anàlisi de dades genòmiques. Si prenem aquestes solucions conjuntament, aporten una base sòlida per al desenvolupament d'aproximacions completes encaminades a l'emmagatzematge i gestió eficient de dades genòmiques.
Mozere, M. "High-throughput sequencing analysis pipeline." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1528797/.
Full textDurif, Ghislain. "Multivariate analysis of high-throughput sequencing data." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1334/document.
Full textThe statistical analysis of Next-Generation Sequencing data raises many computational challenges regarding modeling and inference, especially because of the high dimensionality of genomic data. The research work in this manuscript concerns hybrid dimension reduction methods that rely on both compression (representation of the data into a lower dimensional space) and variable selection. Developments are made concerning: the sparse Partial Least Squares (PLS) regression framework for supervised classification, and the sparse matrix factorization framework for unsupervised exploration. In both situations, our main purpose will be to focus on the reconstruction and visualization of the data. First, we will present a new sparse PLS approach, based on an adaptive sparsity-inducing penalty, that is suitable for logistic regression to predict the label of a discrete outcome. For instance, such a method will be used for prediction (fate of patients or specific type of unidentified single cells) based on gene expression profiles. The main issue in such framework is to account for the response to discard irrelevant variables. We will highlight the direct link between the derivation of the algorithms and the reliability of the results. Then, motivated by questions regarding single-cell data analysis, we propose a flexible model-based approach for the factorization of count matrices, that accounts for over-dispersion as well as zero-inflation (both characteristic of single-cell data), for which we derive an estimation procedure based on variational inference. In this scheme, we consider probabilistic variable selection based on a spike-and-slab model suitable for count data. The interest of our procedure for data reconstruction, visualization and clustering will be illustrated by simulation experiments and by preliminary results on single-cell data analysis. All proposed methods were implemented into two R-packages "plsgenomics" and "CMF" based on high performance computing
Langenberger, David. "High-throughput sequencing and small non-coding RNAs." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-112876.
Full textZhang, Xuekui. "Mixture models for analysing high throughput sequencing data." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/35982.
Full textRoberts, Adam. "Ambiguous fragment assignment for high-throughput sequencing experiments." Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3616509.
Full textAs the cost of short-read, high-throughput DNA sequencing continues to fall rapidly, new uses for the technology have been developed aside from its original purpose in determining the genome of various species. Many of these new experiments use the sequencer as a digital counter for measuring biological activities such as gene expression (RNA-Seq) or protein binding (ChIP-Seq).
A common problem faced in the analysis of these data is that of sequenced fragments that are "ambiguous", meaning they resemble multiple loci in a reference genome or other sequence. In early analyses, such ambiguous fragments were ignored or were assigned to loci using simple heuristics. However, statistical approaches using maximum likelihood estimation have been shown to greatly improve the accuracy of downstream analyses and have become widely adopted Optimization based on the expectation-maximization (EM) algorithm are often employed by these methods to find the optimal sets of alignments, with frequent enhancements to the model. Nevertheless, these improvements increase complexity, which, along with an exponential growth in the size of sequencing datasets, has led to new computational challenges.
Herein, we present our model for ambiguous fragment assignment for RNA-Seq, which includes the most comprehensive set of parameters of any model introduced to date, as well as various methods we have explored for scaling our optimization procedure. These methods include the use of an online EM algorithm and a distributed EM solution implemented on the Spark cluster computing system. Our advances have resulted in the first efficient solution to the problem of fragment assignment in sequencing.
Furthermore, we are the first to create a fully generalized model for ambiguous fragment assignment and present details on how our method can provide solutions for additional high-throughput sequencing assays including ChIP-Seq, Allele-Specific Expression (ASE), and the detection of RNA-DNA Differences (RDDs) in RNA-Seq.
Books on the topic "High throughput sequencing (NGS)"
Kwon, Young Min, and Steven C. Ricke, eds. High-Throughput Next Generation Sequencing. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-089-8.
Full textRodríguez-Ezpeleta, Naiara, Michael Hackenberg, and Ana M. Aransay, eds. Bioinformatics for High Throughput Sequencing. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0782-9.
Full textRodríguez-Ezpeleta, Naiara, Michael Hackenberg, and Ana M. Aransay. Bioinformatics for high throughput sequencing. New York, NY: Springer, 2012.
Find full textR, Mitchelson Keith, ed. New high throughput technologies for DNA sequencing and genomics. Amsterdam: Elsevier, 2007.
Find full textAransay, Ana M., and José Luis Lavín Trueba, eds. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31350-4.
Full textauthor, Belazzougui Djamal, Cunial Fabio author, and Tomescu Alexandru I. author, eds. Genome-scale algorithm design: Biological sequence analysis in the era of high-throughput sequencing. Cambridge, United Kingdom: University Printing House, 2015.
Find full textCunha, Monica V., and João Inácio. Veterinary infection biology: Molecular diagnostics and high-throughput strategies. New York: Humana Press, 2015.
Find full textRodríguez-Ezpeleta, Naiara, Ana M. Aransay, and Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2014.
Find full textRodríguez-Ezpeleta, Naiara, Ana M. Aransay, and Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2011.
Find full textLee, Eric, and T. W. Tan. Beginners Guide to Bioinformatics for High Throughput Sequencing. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/10720.
Full textBook chapters on the topic "High throughput sequencing (NGS)"
Tombuloğlu, Güzin, and Hüseyin Tombuloğlu. "High-Throughput Transcriptome Analysis of Plant Stress Responses." In Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches, 195–209. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17157-9_12.
Full textHabyarimana, Ephrem, and Sofia Michailidou. "Genomics Data." In Big Data in Bioeconomy, 69–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_6.
Full textDeng, Xiangyu, Lee S. Katz, Patricia I. Fields, and Wei Zhang. "High-Throughput Sequencing." In DNA Methods in Food Safety, 65–83. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118278666.ch4.
Full textWoods, Douglas W., Matthew R. Capriotti, Madison Pilato, Carolyn A. Doyle, Christopher J. McDougle, Beth Springate, Deborah Fein, et al. "High-Throughput Sequencing." In Encyclopedia of Autism Spectrum Disorders, 1508. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100671.
Full textElumalai, Elakkiya, and Krishna Kant Gupta. "High-Throughput Sequencing Technologies." In Bioinformatics in Rice Research, 283–304. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3993-7_13.
Full textGoya, Rodrigo, Irmtraud M. Meyer, and Marco A. Marra. "Applications of High-Throughput Sequencing." In Bioinformatics for High Throughput Sequencing, 27–53. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0782-9_3.
Full textMyllykangas, Samuel, Jason Buenrostro, and Hanlee P. Ji. "Overview of Sequencing Technology Platforms." In Bioinformatics for High Throughput Sequencing, 11–25. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0782-9_2.
Full textKaya, Kamer, Ayat Hatem, Hatice Gülçin Özer, Kun Huang, and Ümit V. Çatalyürek. "High-Performance Computing In High-Throughput Sequencing." In Biological Knowledge Discovery Handbook, 981–1002. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118617151.ch43.
Full textRodríguez-Ezpeleta, Naiara, and Ana M. Aransay. "Introduction." In Bioinformatics for High Throughput Sequencing, 1–9. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0782-9_1.
Full textYoung, Matthew D., Davis J. McCarthy, Matthew J. Wakefield, Gordon K. Smyth, Alicia Oshlack, and Mark D. Robinson. "Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design." In Bioinformatics for High Throughput Sequencing, 169–90. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0782-9_10.
Full textConference papers on the topic "High throughput sequencing (NGS)"
Chanyshev, M. D., N. V. Vlasenko, I. A. Kotov, K. F. Khafizov, and V. G. Akimkin. "HIGH THROUGHPUT DNA SEQUENCING OF HEPATITIS B VIRUS." In X Международная конференция молодых ученых: биоинформатиков, биотехнологов, биофизиков, вирусологов и молекулярных биологов — 2023. Novosibirsk State University, 2023. http://dx.doi.org/10.25205/978-5-4437-1526-1-266.
Full textChaabane, Mohamed, Eric C. Rouchka, and Juw Won Park. "Circular RNA Detection from High-throughput Sequencing." In RACS '17: International Conference on Research in Adaptive and Convergent Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129676.3129734.
Full textMangul, Serghei, and Alex Zelikovsky. "Poster: Haplotype discovery from high-throughput sequencing data." In 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2011. http://dx.doi.org/10.1109/iccabs.2011.5729908.
Full textHolt, James, Shunping Huang, Leonard McMillan, and Wei Wang. "Read Annotation Pipeline for High-Throughput Sequencing Data." In BCB'13: ACM-BCB2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2506583.2506645.
Full textKuroshu, Reginaldo M. "Non-overlapping clone pooling for high-throughput sequencing." In the ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2382936.2382947.
Full textWhite, Brian S., Abdullah Ozer, John T. Lis, and David Shalloway. "Abstract LB-97: Optimizing SELEX with high-throughput sequencing." 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-lb-97.
Full textHoobin, Christopher, Trey Kind, Christina Boucher, and Simon J. Puglisi. "Fast and efficient compression of high-throughput sequencing reads." In BCB '15: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808719.2808753.
Full textRakova, Irina, Maria Kapetanaki, Kusum Pandit, Lara Chensny, Kevin Gibson, Elodie Ghedin, and Naftali Kaminski. "High-Throughput Sequencing Of MicroRNA In Idiopathic Pulmonary Fibrosis." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a5538.
Full textTsui, Stephen Kwok-Wing. "High-throughput DNA sequencing and bioinformatics: Bottlenecks and opportunities." In 2009 IEEE International Conference on Granular Computing (GRC). IEEE, 2009. http://dx.doi.org/10.1109/grc.2009.5255117.
Full textBozdag, Doruk, Catalin C. Barbacioru, and Umit V. Catalyurek. "Parallel short sequence mapping for high throughput genome sequencing." In Distributed Processing (IPDPS). IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5161075.
Full textReports on the topic "High throughput sequencing (NGS)"
Lu, X. An integrated multiple capillary array electrophoresis system for high-throughput DNA sequencing. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/348901.
Full textCooney, Kathleen A. High Throughput Sequencing of Germline and Tumor from Men With Early-Onset Metastatic Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada611828.
Full textCooney, Kathleen A. High-Throughput Sequencing of Germline and Tumor From Men with Early-Onset Metastatic Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ada624260.
Full textNovikova, Irina, James Evans, Lye Meng Markillie, and Hugh Mitchell. Validation and functional characterization of transcription factors in wheat using cell-free protein expression and high-throughput sequencing technologies. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1976176.
Full textZhang, Yonghua. High Throughput Sample Preparation and Analysis for DNA Sequencing, PCR and Combinatorial Screening of Catalysis Based on Capillary Array Technique. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/804158.
Full textXue, Gang. High-Throughput Analysis With 96-Capillary Array Electrophoresis and Integrated Sample Preparation for DNA Sequencing Based on Laser Induced Fluorescence Detection. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/803101.
Full textGao, David. A new sieving matrix for DNA sequencing, genotyping and mutation detection and high-throughput genotyping with a 96-capillary array system. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/754779.
Full textGur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7600047.bard.
Full textBacharach, Eran, W. Ian Lipkin, and Avigdor Eldar. Identification of the etiological agent of tilapia disease in the Lake of Galillee. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7597932.bard.
Full textJoel, Daniel M., Steven J. Knapp, and Yaakov Tadmor. Genomic Approaches for Understanding Virulence and Resistance in the Sunflower-Orobanche Host-Parasite Interaction. United States Department of Agriculture, August 2011. http://dx.doi.org/10.32747/2011.7592655.bard.
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