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Статті в журналах з теми "Next Generation Sequencin"
Barbosa, Cristina, Sofia Nogueira, Mário Gadanho, and Sandra Chaves. "Study on Commercial Spice and Herb Products Using Next-Generation Sequencing (NGS)." Journal of AOAC INTERNATIONAL 102, no. 2 (March 1, 2019): 369–75. http://dx.doi.org/10.5740/jaoacint.18-0407.
Повний текст джерелаC, Chinmayee, Amrita Nischal, and C. R. Manjunath Soumya K. N. "Next Generation Sequencing in Big Data." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 379–89. http://dx.doi.org/10.31142/ijtsrd12975.
Повний текст джерелаHe, Jiahuan. "Next-Generation Sequencing on COVID-19 Pandemic." International Journal of Bioscience, Biochemistry and Bioinformatics 12, no. 2 (2022): 30–38. http://dx.doi.org/10.17706/ijbbb.2022.12.2.30-38.
Повний текст джерелаVlk, D., and J. Řepková. "Application of next-generation sequencing in plant breeding." Czech Journal of Genetics and Plant Breeding 53, No. 3 (September 13, 2017): 89–96. http://dx.doi.org/10.17221/192/2016-cjgpb.
Повний текст джерелаMaver, Aleš, and Borut Peterlin. "Paediatria Croatica." Paediatria Croatica 57, no. 4 (December 20, 2013): 295–300. http://dx.doi.org/10.13112/pc.2013.1.
Повний текст джерелаBorodinov, A. G., V. V. Manoilov, I. V. Zarutsky, A. I. Petrov, and V. E. Kurochkin. "GENERATIONS OF DNA SEQUENCING METHODS (REVIEW)." NAUCHNOE PRIBOROSTROENIE 30, no. 4 (November 30, 2020): 3–20. http://dx.doi.org/10.18358/np-30-4-i320.
Повний текст джерелаMardis, Elaine, Timothy J. Ley, and Richard K. Wilson. "Sequencing Acute Myeloid Leukemia Genomes with “Next Generation” Technologies." Blood 112, no. 11 (November 16, 2008): sci—36—sci—36. http://dx.doi.org/10.1182/blood.v112.11.sci-36.sci-36.
Повний текст джерелаKim, Minseok, Youlchang Baek, and Young Kyoon Oh. "Application of Next Generation Sequencing to Investigate Microbiome in the Livestock Sector." Journal of Animal Environmental Science 21, no. 3 (September 30, 2015): 93–98. http://dx.doi.org/10.11109/jaes.2015.21.3.93.
Повний текст джерелаKim, Se Hee, Eun Young Nam, Kang-Hee Cho, Il Sheob Shin, Hyun Ran Kim, and Hae Seong Hwang. "Comparison of transcriptome analysis between red flash peach cultivar and white flash peach cultivar using next generation sequencing." Journal of Plant Biotechnology 39, no. 4 (December 31, 2012): 273–80. http://dx.doi.org/10.5010/jpb.2012.39.4.273.
Повний текст джерелаZeeshan, Faiza, and Sadaf Razzak. "Next Generation Sequencing and its Role in Clinical Microbiology and Molecular Epidemiology." ANNALS of JINNAH SINDH MEDICAL UNIVERSITY 6, no. 1 (June 30, 2020): 31–32. http://dx.doi.org/10.46663/ajsmu.v6i1.31-32.
Повний текст джерелаДисертації з теми "Next Generation Sequencin"
Espach, Yolandi. "The detection of mycoviral sequences in grapevine using next-generation sequencing." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80025.
Повний текст джерелаENGLISH ABSTRACT: Metagenomic studies that make use of next-generation sequencing (NGS) generate large amounts of sequence data, representing the genomes of multiple organisms of which no prior knowledge is necessarily available. In this study, a metagenomic NGS approach was used to detect multiple novel mycoviral sequences in grapevine phloem tissue. Individual sequencing libraries of doublestranded RNA (dsRNA) from two grapevine leafroll diseased (GLD) and three shiraz diseased (SD) vines were sequenced using an Illumina HiScanSQ instrument. Over 3.2 million reads were generated from each of the samples and these reads were trimmed and filtered for quality before being de novo assembled into longer contigs. The assembled contigs were subjected to BLAST (Basic Local Alignment Search Tool) analyses against the NCBI (National Centre for Biotechnology Information) database and classified according to database sequences with which they had the highest identity. Twenty-six putative mycovirus species were identified, belonging to the families Chrysoviridae, Endornaviridae, Narnaviridae, Partitiviridae and Totiviridae. Two of the identified mycoviruses, namely grapevine-associated chrysovirus (GaCV) and grapevine-associated mycovirus 1 (GaMV-1) have previously been identified in grapevine while the rest appeared to be novel mycoviruses not present in the NCBI database. Primers were designed from the de novo assembled mycoviral sequences and used to screen the grapevine dsRNA used for sequencing as well as endophytic fungi isolated from the five sample vines. Only two mycoviruses, related to sclerotinia sclerotiorum partitivirus S and chalara elegans endornavirus 1 (CeEV-1), could be detected in grapevine dsRNA and in fungus isolates. In order to validate the presence of mycoviruses in grapevine phloem tissue, two additional sequencing runs, using an Illumina HiScanSQ and an Applied Biosystems (ABI) SOLiD 5500xl instrument respectively, were performed. These runs generated more and higher quality sequence data than the first sequencing run. Twenty-two of the putative mycoviral sequences initially detected were detected in the subsequent sequence datasets, as well as an additional 29 species not identified in the first HiScanSQ sequence datasets. The samples harboured diverse mycovirus populations, with as many as 19 putative species identified in a single vine. This indicates that the complete virome of diseased grapevines will include a high number of mycoviruses. Additionally, the complete genome of a novel endornavirus, for which we propose the name grapevine endophyte endornavirus (GEEV), was assembled from one of the second HiScanSQ sequence datasets. This is the first complete genome of a mycovirus detected in grapevine. Grapevine endophyte endornavirus has the highest sequence similarity to CeEV-1 and is the same virus that was previously detected in fungus isolates using the mycovirus primers. The virus was detected in two fungus isolates, namely Stemphylium sp. and Aureobasidium pullulans, which is of interest since mycoviruses are not known to be naturally associated with two distinctly different fungus genera. Mycoviral sequence data generated in this study can be used to further investigate the diversity and the effect of mycoviruses in grapevine.
AFRIKAANSE OPSOMMING: Metagenomiese studies, wat gebruik maak van volgende-generasie volgordebepalingstegnologie, het die vermoë om die genetiese samestelling van veelvoudige onbekende organismes te bepaal deurdat dit groot hoeveelhede data genereer. Die bogenoemde tegniek was in hierdie studie aangewend om aantal nuwe mikovirusse in die floëem weefsel van wingerd te identifiseer. Dubbelstring-RNS was gesuiwer vanuit twee druiwestokke met rolbladsiekte en drie met shirazsiekte en Illumina HiScanSQ instrument is gebruik om meer as 3.2 miljoen volgorde fragmente te genereer van elk van die monsters. Lae-kwaliteit volgordes was verwyder en die oorblywende kort volgorde fragmente was saamgestel om langer konstrukte te vorm wat met behulp van BLAST soektogte teen die NCBI databasis geïdentifiseer kon word. Ses-en-twintig mikovirus spesies, wat aan die families Chrysoviridae, Endornaviridae, Narnaviridae, Partitiviridae en Totiviridae behoort, was geïdentifiseer. Twee van die geïdentifiseerde mikovirusse, naamlik grapevine-associated chrysovirus (GaCV) en grapevine-associated mycovirus 1 (GaMV-1), was voorheen al in wingerd gekry terwyl die res nuwe mikovirusse is wat tans nie in die NCBI databasis voorkom nie. Inleiers was ontwerp vanaf die saamgestelde mikovirus basisvolgordes en gebruik om wingerd dubbelstring-RNS sowel as swamme wat vanuit die wingerd geïsoleer is te toets vir die teenwoordigheid van hierdie mikovirusse. Slegs twee mikovirusse, wat onderskeidelik verwant is aan sclerotinia sclerotiorum partitivirus S en chalara elegans endornavirus 1 (CeEV-1), kon deur middel van die inleiers in wingerd en swam isolate geïdentifiseer word. Twee addisionele volgordebepalingsreaksies, wat gebruik gemaak het van die Illumina HiScanSQ en ABI SOLiD 5500xl volgordebepalingsplatforms, was gebruik om die teenwoordigheid van mikovirusse in wingerd te bevestig. Groter hoeveelheid volgorde fragmente was geprodusser wat ook van hoër gehalte was as dié van die eerste volgordebepalingsreaksie. Twee-en-twintig mikovirus spesies kon weer geïdentifiseer word, sowel as 29 spesies wat nie in die eerste HiScanSQ basisvolgorde datastelle gevind was nie. Die wingerdstokke wat in hierdie studie ondersoek was, het hoë diversiteit van mikovirusse bevat aangesien daar tot 19 mikovirus spesies in enkele wingerdstok geïdentifiseer was. Dit is aanduiding dat volledige virus profiele van siek wingerdstokke aantal mikovirusse sal insluit. Die vollengte genoomvolgorde van voorheen onbekende endornavirus was saamgestel vanuit een van die tweede HiScanSQ volgorde datastelle. Dit is die eerste mikovirus wat in wingerd gevind word waarvan die volledige genoomvolgorde bepaal is en ons stel die naam grapevine endophyte endornavirus (GEEV) voor vir hierdie virus. Grapevine endophyte endornavirus is die naaste verwant aan CeEV-1 en is dieselfde virus wat voorheen in wingerd dubbelstring-RNS en swam isolate gevind was deur middel van die mikovirus inleiers. Swam isolate waarin GEEV gevind is, was geïdentifiseer as Stemphylium sp. en Aureobasidium pullulans. Dit is van belang dat GEEV in twee swam isolate gevind is wat aan verskillende genusse behoort aangesien hierdie verskynsel nog nie voorheen in die natuur gevind is nie. Mikovirus nukleiensuurvolgordes wat in hierdie studie bepaal was kan gebruik word in toekomstige studies om die verskeidenheid en impak van mikovirusse in wingerd verder te ondersoek.
National Research Foundation (NRF)
Stellenbosch University
TROVÃO, Nídia Isabel Sequeira. "Evaluation of next generation sequency protocols for VIH complete genome sequencing." Master's thesis, Instituto de Higiene e Medicina Tropical, 2011. http://hdl.handle.net/10362/51111.
Повний текст джерелаHuman immunodeficiency virus (HIV) is a retrovirus that gave rise to a worldwide epidemic after its successful zoonotic transmission in the first half of the twentieth century. Current therapy, referred to as Highly Active AntiRetroviral Therapy (HAART), can significantly delay disease progression. However, despite more than 25 years of intensive research there is still no cure available. All available antiretroviral drugs are faced with the insurmountable challenge posed by the high evolutionary potential of HIV. This implies that regardless the administered drug cocktail, drug resistance can and will develop. To manage these negative effects, patients should be screened on a regular basis in order to detect the development of drug resistance in an early phase, so the therapy regimen can be timely adjusted. Importantly, both drug resistant variants that have evolved de novo or were acquired through transmission can negatively impact on therapy outcome. Thus, also therapy-naive patients should be screened before therapy onset. This screening usually involves genotyping of the viral population through the direct sequencing of the RT-PCR products. Unfortunately, this approach does not allow the reliable detection of viral variants present in less then at about 20%-25% of the population. The association of such minor variants harboring drug resistance mutations with therapy failure fueled investigations to exploit the recently developed Roche® 454 NGS platform in an attempt to gain a more accurate in-depth view of the viral population. These inquiries are characterized by two major drawbacks: their focus on limited genomic regions and the need for large amounts of input material characteristic for the proprietary Roche® 454 fragmentation approach. As part of a larger project on the comparison of currently available sample preprocessing protocols for complete genome sequencing of clinical HIV plasma and PBMC samples, and the identification of the most suitable viral reservoir for resistance testing in newly infected patients as a secondary objective, this thesis focuses on the corresponding practical aspects of pre-processing prior to sequence data generation. Specifically, all wet-lab procedures for both the sequence-specific and random priming amplification strategies were carried out. For the former, we generated 6 overlapping amplicons to cover the entire HIV-1 genome. After equimolar pooling of all amplicons for each sample, we performed two enzymatic fragmentation methods. These will be compared to conventional mechanical 454 shearing. The successful sequencing of one sample and the completion of all sample pre-processing procedures is promising for further applications but a comprehensive evaluation of the sequence data to be generated is necessary to make an informed choice among the different approaches.
Sundquist, Andreas. "Algorithms for next-generation sequencing /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Повний текст джерелаEspírito, Ana Cláudia Pereira. "Saccharomycotin transcriptomics by next-generation sequencing." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15677.
Повний текст джерелаThe non-standard decoding of the CUG codon in Candida cylindracea raises a number of questions about the evolutionary process of this organism and other species Candida clade for which the codon is ambiguous. In order to find some answers we studied the transcriptome of C. cylindracea, comparing its behavior with that of Saccharomyces cerevisiae (standard decoder) and Candida albicans (ambiguous decoder). The transcriptome characterization was performed using RNA-seq. This approach has several advantages over microarrays and its application is booming. TopHat and Cufflinks were the software used to build the protocol that allowed for gene quantification. About 95% of the reads were mapped on the genome. 3693 genes were analyzed, of which 1338 had a non-standard start codon (TTG/CTG) and the percentage of expressed genes was 99.4%. Most genes have intermediate levels of expression, some have little or no expression and a minority is highly expressed. The distribution profile of the CUG between the three species is different, but it can be significantly associated to gene expression levels: genes with fewer CUGs are the most highly expressed. However, CUG content is not related to the conservation level: more and less conserved genes have, on average, an equal number of CUGs. The most conserved genes are the most expressed. The lipase genes corroborate the results obtained for most genes of C. cylindracea since they are very rich in CUGs and nothing conserved. The reduced amount of CUG codons that was observed in highly expressed genes may be due, possibly, to an insufficient number of tRNA genes to cope with more CUGs without compromising translational efficiency. From the enrichment analysis, it was confirmed that the most conserved genes are associated with basic functions such as translation, pathogenesis and metabolism. From this set, genes with more or less CUGs seem to have different functions. The key issues on the evolutionary phenomenon remain unclear. However, the results are consistent with previous observations and shows a variety of conclusions that in future analyzes should be taken into consideration, since it was the first time that such a study was conducted.
A descodificação não-standard do codão CUG na Candida cylindracea levanta uma série de questões sobre o processo evolutivo deste organismo e de outras espécies do subtipo Candida para as quais o codão é ambíguo. No sentido de encontrar algumas respostas procedeu-se ao estudo do transcriptoma de C. cylindracea, comparando o seu comportamento com o de Saccharomyces cerevisiae (descodificador standard) e de Candida albicans (descodificador ambíguo). A caracterização do transcriptoma foi realizada a partir de RNA-seq. Esta metodologia apresenta várias vantagens em relação aos microarrays e a sua aplicação encontra-se em franca expansão. TopHat e Cufflinks foram os softwares utilizados na construção do protocolo que permitiu efectuar a quantificação génica. Cerca de 95% das reads alinharam contra o genoma. Foram analisados 3693 genes, 1338 dos quais com codão start não-standard (TTG/CTG) e a percentagem de genoma expresso foi de 99,4%. Maioritarimente, os genes têm níveis de expressão intermédios, alguns apresentam pouca ou nenhuma expressão e uma minoria é altamente expressa. O perfil de distribuição do codão CUG entre as três espécies é muito diferente, mas pode associar-se significativamente aos níveis de expressão: os genes com menos CUGs são os mais altamente expressos. Porém, o conteúdo em CUG não se relaciona com o nível de conservação: genes mais e menos conservados têm, em média, igual número de CUGs. Os genes mais conservados são os mais expressos. Os genes de lipases corroboram os resultados obtidos para os genes de C. cylindracea em geral, sendo muito ricos em CUGs e nada conservados. A quantidade reduzida de codões CUG que se observa em genes altamente expressos pode dever-se, eventualmente, a um número insuficiente de genes de tRNA para fazer face a mais CUGs sem comprometer a eficiência da tradução. A partir da análise de enriquecimento foi possível confirmar que os genes mais conservados estão associados a funções básicas como tradução, patogénese e metabolismo. Dentro destes, os genes com mais e menos CUGs parecem ter funções diferentes. As questões-chave sobre o fenómeno evolutivo permanecem por esclarecer. No entanto, os resultados são compatíveis com as observações anteriores e são apresentadas várias conclusões que em futuras análises devem ser tidas em consideração, já que foi a primeira vez que um estudo deste tipo foi realizado.
Kumar, Sujai. "Next-generation nematode genomes." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7609.
Повний текст джерелаQiao, Dandi. "Statistical Approaches for Next-Generation Sequencing Data." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10689.
Повний текст джерелаIceton, Gregg. "Next generation sequencing for the water industry." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4187.
Повний текст джерелаOdelgard, Anna. "Coverage Analysis in Clinical Next-Generation Sequencing." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379228.
Повний текст джерелаClifford, Harry William. "Next generation sequencing in disease-relevant tissues." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:cf2eb0ac-62dd-41c7-896d-35f11f416b82.
Повний текст джерелаPyon, Yoon Soo. "Variant Detection Using Next Generation Sequencing Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645.
Повний текст джерелаКниги з теми "Next Generation Sequencin"
Masoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. Next Generation Sequencing and Sequence Assembly. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6.
Повний текст джерелаWong, Lee-Jun C., ed. Next Generation Sequencing. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4.
Повний текст джерелаHead, Steven R., Phillip Ordoukhanian, and Daniel R. Salomon, eds. Next Generation Sequencing. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7514-3.
Повний текст джерелаEl-Metwally, Sara, Osama M. Ouda, and Mohamed Helmy. Next Generation Sequencing Technologies and Challenges in Sequence Assembly. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0715-1.
Повний текст джерелаKwon, 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.
Повний текст джерелаHarbers, Matthias, and Günter Kahl, eds. Tag-Based Next Generation Sequencing. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527644582.
Повний текст джерелаKahl, Günter, and Matthias Harbers. Tag-based next generation sequencing. Weinheim: Wiley-Blackwell, 2012.
Знайти повний текст джерелаKappelmann-Fenzl, Melanie, ed. Next Generation Sequencing and Data Analysis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3.
Повний текст джерелаWu, Wei, and Hani Choudhry, eds. Next Generation Sequencing in Cancer Research. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7645-0.
Повний текст джерелаElloumi, Mourad, ed. Algorithms for Next-Generation Sequencing Data. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59826-0.
Повний текст джерелаЧастини книг з теми "Next Generation Sequencin"
Masoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. "Next-Generation Sequencing Methodologies." In Next Generation Sequencing and Sequence Assembly, 1–9. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6_1.
Повний текст джерелаMasoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. "Emergence of Next-Generation Sequencing." In Next Generation Sequencing and Sequence Assembly, 11–39. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6_2.
Повний текст джерелаMasoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. "The Assembly of Sequencing Data." In Next Generation Sequencing and Sequence Assembly, 41–54. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6_3.
Повний текст джерелаMasoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. "De Novo Assembly Algorithms." In Next Generation Sequencing and Sequence Assembly, 55–83. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6_4.
Повний текст джерелаEl-Metwally, Sara, Osama M. Ouda, and Mohamed Helmy. "Next-Generation Sequence Assemblers." In Next Generation Sequencing Technologies and Challenges in Sequence Assembly, 103–16. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0715-1_11.
Повний текст джерелаEl-Metwally, Sara, Osama M. Ouda, and Mohamed Helmy. "Next-Generation Sequencing Platforms." In Next Generation Sequencing Technologies and Challenges in Sequence Assembly, 37–44. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0715-1_4.
Повний текст джерелаWhite, Lisa D. "History of DNA Sequencing Technologies." In Next Generation Sequencing, 3–17. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_1.
Повний текст джерелаChen, Rui, and Feng Wang. "NGS Analysis of Heterogeneous Retinitis Pigmentosa." In Next Generation Sequencing, 187–202. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_10.
Повний текст джерелаWong, Lee-Jun C. "Next-Generation Sequencing Analyses of the Whole Mitochondrial Genome." In Next Generation Sequencing, 203–19. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_11.
Повний текст джерелаVasta, Valeria, and Si Houn Hahn. "Application of Next-Generation Sequencing of Nuclear Genes for Mitochondrial Disorders." In Next Generation Sequencing, 221–39. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_12.
Повний текст джерелаТези доповідей конференцій з теми "Next Generation Sequencin"
COARFA, CRISTIAN, and ALEKSANDAR MILOSAVLJEVIC. "PASH 2.0: SCALEABLE SEQUENCE ANCHORING FOR NEXT-GENERATION SEQUENCING TECHNOLOGIES." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812776136_0012.
Повний текст джерела"PROPOSAL FOR OPEN DISCUSSION - Informatics Challenges for Next Generation Sequencing Metagenomics Experiments." In Metagenomic Sequence Data Analysis. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003334203630366.
Повний текст джерелаLi, Jing, and Kun Huang. "Next generation sequencing data analysis." In the First ACM International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1854776.1854781.
Повний текст джерелаGupta, Ashutosh, Lala Bhaskar, Pradeep Kumar, and Jimmy Gautam. "Performance analysis of different PN sequence and Orthogonal Spreading sequences in DS-SS." In 2014 5th International Conference- Confluence The Next Generation Information Technology Summit. IEEE, 2014. http://dx.doi.org/10.1109/confluence.2014.6949258.
Повний текст джерелаBrenner, Jonathon, and Catherine Putonti. "HAsh-MaP-ERadicator: Filtering non-target sequences from next generation sequencing reads." In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359835.
Повний текст джерелаShen, Xiaohu, Manohar Shamaiah, and Haris Vikalo. "Message passing algorithm for inferring consensus sequence from next-generation sequencing data." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620503.
Повний текст джерелаNalbantoglu, O. U., A. Riffle, and K. Sayood. "Compression of Next Generation Sequencing Data." In 2015 Data Compression Conference (DCC). IEEE, 2015. http://dx.doi.org/10.1109/dcc.2015.92.
Повний текст джерелаMisra, Sanchit, Ramanathan Narayanan, Wei-keng Liao, Alok Choudhary, and Simon Lin. "pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads." In Distributed Processing, Workshops and Phd Forum (IPDPSW 2010). IEEE, 2010. http://dx.doi.org/10.1109/ipdpsw.2010.5470894.
Повний текст джерелаMorente-Molinera, J. A., J. M. Martin, C. Cano, M. Cuadros, and A. Blanco. "SNP annotation from next generation sequencing data." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121821.
Повний текст джерелаGao, Jingyang, Fei Qi, and Rui Guan. "Structural variation discovery with next-generation sequencing." In 2013 2nd International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2013. http://dx.doi.org/10.1109/imsna.2013.6743374.
Повний текст джерелаЗвіти організацій з теми "Next Generation Sequencin"
Chelsie, Geyer. Applications of Clinical Microbial Next-Generation Sequencing. American Society for Microbiology, April 2015. http://dx.doi.org/10.1128/aamcol.apr.2015.
Повний текст джерелаVuyisich, Momchilo. Next generation sequencing (NGS)technologies and applications. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1050518.
Повний текст джерелаLai, Qiang, Tao Cheng, Wentao Yang, Tianyong Han, and Shuyun Xu. The diagnostic value of metagenomic next-generation sequencing in sepsis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0008.
Повний текст джерелаDu, Zhi-Qiang, and Max F. Rothschild. Next Generation Sequencing to Discover Genetic Markers for Pacific White Shrimp. Ames (Iowa): Iowa State University, January 2011. http://dx.doi.org/10.31274/ans_air-180814-35.
Повний текст джерелаOlson, Nathanael D., Nancy J. Lin, and Scott A. Jackson. Standards for Pathogen Identification via Next-Generation Sequencing (SPIN) Workshop Summary Report. National Institute of Standards and Technology, July 2015. http://dx.doi.org/10.6028/nist.sp.1183.
Повний текст джерелаKoay, Chun Giok, Teng Fung Looi, and Rohit Kunnath Menon. Systematic review of studies evaluating the microbiome of periimplantitis using next generation sequencing techniques. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0111.
Повний текст джерелаYu, Guocan, Wuchen Zhao, Yanqin Shen, Pengfei Zhu, and Hong Zheng. Metatagenomic Next-Generation Sequencing for diagnosis of tuberculosis Meningitis: A protocol of systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2020. http://dx.doi.org/10.37766/inplasy2020.7.0100.
Повний текст джерелаGuo, Qiang, Xiulin Ye, Xiaoxing Ge, Xiaoji Su, and Shihai Zhang. Metagenomic Next Generation Sequencing for the Diagnosis pathogeny of Respiratory Infection : A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0036.
Повний текст джерелаQu, Chunrun, Yu Chen, Yuzhen Ouyang, Ruoyu Lu, Yu Zeng, and Zhixiong Liu. Metagenomics Next Generation Sequencing for the Diagnosis of Central Nervous System Infection: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2021. http://dx.doi.org/10.37766/inplasy2021.2.0002.
Повний текст джерелаCarlson, Damian, Christian Cuevas, Jennifer De Lurio, Andrew Furman, Randy Hulshizer, and Marcus Lynch. PCORI COVID-19 Scan: Next-Generation Sequencing Assays, Point-of-Care Breath Test (August 6-August 19, 2020). Patient-Centered Outcomes Research Institute (PCORI), August 2020. http://dx.doi.org/10.25302/bcs7.2020.8.
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