Academic literature on the topic 'Next Generation Sequencing'

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Journal articles on the topic "Next Generation Sequencing"

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C, 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 (2018): 379–89. http://dx.doi.org/10.31142/ijtsrd12975.

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He, 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.

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Bösl, Elsbeth, and Stefanie Samida. "Next generation sequencing." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 30, no. 2 (2021): 10–52. http://dx.doi.org/10.14512/tatup.30.2.10.

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Next Generation Sequencing led to major knowledge gains in the molecular life sciences. But the new technology provides data that pose new challenges to both science and society. New fields of research are emerging and questions of identity on the basis of genetic analyses are being negotiated.
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Jain, AmitKumar, and Guruprasad Bhat. "Next generation sequencing." Indian Journal of Medical and Paediatric Oncology 41, no. 3 (2020): 381. http://dx.doi.org/10.4103/ijmpo.ijmpo_28_20.

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Patel, Snehal B., Wendy Kadi, Ann E. Walts, et al. "Next-Generation Sequencing." Journal of Molecular Diagnostics 19, no. 6 (2017): 870–80. http://dx.doi.org/10.1016/j.jmoldx.2017.07.006.

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HULICK, PETER. "Next-Generation Sequencing." Family Practice News 42, no. 9 (2012): 8. http://dx.doi.org/10.1016/s0300-7073(12)70394-8.

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HULICK, PETER. "Next-Generation Sequencing." Internal Medicine News 45, no. 6 (2012): 41. http://dx.doi.org/10.1016/s1097-8690(12)70305-0.

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Penttilä, S., T. Suominen, S. Lehtinen, M. Jokela, J. Palmio, and B. Udd. "NEXT GENERATION SEQUENCING." Neuromuscular Disorders 29 (October 2019): S152. http://dx.doi.org/10.1016/j.nmd.2019.06.406.

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Xiong, Momiao, Zhongming Zhao, Jonathan Arnold, and Fuli Yu. "Next-Generation Sequencing." Journal of Biomedicine and Biotechnology 2010 (2010): 1–2. http://dx.doi.org/10.1155/2010/370710.

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Hempel, M., T. B. Haack, S. Eck, and H. Prokisch. "„Next generation sequencing“." Monatsschrift Kinderheilkunde 159, no. 9 (2011): 827–33. http://dx.doi.org/10.1007/s00112-011-2446-y.

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Dissertations / Theses on the topic "Next Generation Sequencing"

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Sundquist, Andreas. "Algorithms for next-generation sequencing /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Espírito, Ana Cláudia Pereira. "Saccharomycotin transcriptomics by next-generation sequencing." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15677.

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Mestrado em Biomedicina Molecular<br>The 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. TopH
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Qiao, Dandi. "Statistical Approaches for Next-Generation Sequencing Data." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10689.

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During the last two decades, genotyping technology has advanced rapidly, which enabled the tremendous success of genome-wide association studies (GWAS) in the search of disease susceptibility loci (DSLs). However, only a small fraction of the overall predicted heritability can be explained by the DSLs discovered. One possible explanation for this ”missing heritability” phenomenon is that many causal variants are rare. The recent development of high-throughput next-generation sequencing (NGS) technology provides the instrument to look closely at these rare variants with precision and efficiency
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Iceton, Gregg. "Next generation sequencing for the water industry." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4187.

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The wastewater industry uses biotechnology to ensure that the discharge of sewage does not have deleterious effects on the environment, yet knowledge of the underlying microbiology is poor. This leads to over engineered and inefficient processes which occasionally and unexpectedly fail. Similarly the impact of sewage on the microbiology of receiving waters is unclear. Recent developments in DNA sequencing have enabled its use where cost was prohibitive. I investigated two applications of Next Generation Sequencing (NGS); activated sludge process monitoring for nitrification, foaming and bulkin
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Odelgard, 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.

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With the new way of sequencing by NGS new tools had to be developed to be able to work with new data formats and to handle the larger data sizes compared to the previous techniques but also to check the accuracy of the data. Coverage analysis is one important quality control for NGS data, the coverage indicates how many times each base pair has been sequenced and thus how trustworthy each base call is. For clinical purposes every base of interest must be quality controlled as one wrong base call could affect the patient negatively. The softwares used for coverage analysis with enough accuracy
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Clifford, 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.

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Studies of RNA and the transcriptome are of great importance in providing functional information and unravelling the genetic mechanisms that underlie complex disorders and diseases. With the vast majority of complex disease-associated variants falling outside protein-coding regions of the genome, it is likely that variations in gene expression regulation will be essential to understanding disease aetiology. Information on RNA quantity and splicing isoforms is therefore likely to be crucial for understanding complex pathologies of deleterious genetic variation. The advent of next generation seq
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Pyon, 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.

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Sala, Claudia. "Ecological modelling for next generation sequencing data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6279/.

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Le tecniche di next generation sequencing costituiscono un potente strumento per diverse applicazioni, soprattutto da quando i loro costi sono iniziati a calare e la qualità dei loro dati a migliorare. Una delle applicazioni del sequencing è certamente la metagenomica, ovvero l'analisi di microorganismi entro un dato ambiente, come per esempio quello dell'intestino. In quest'ambito il sequencing ha permesso di campionare specie batteriche a cui non si riusciva ad accedere con le tradizionali tecniche di coltura. Lo studio delle popolazioni batteriche intestinali è molto importante in quanto
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Royall, Ariel. "Next-generation Sequencing Methods for Complex Communities." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22682.

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Advances in sequencing technology have opened up the possibility of investigating complex communities, but deviations from homogeneity in a sample create challenges in generating and analyzing sequence data. There are two kinds of heterogeneous populations that are addressed in this dissertation: low-frequency sequence variants in a group of largely homogeneous cells and rare members in complex biological communities. It is important to be able to fully characterize the heterogeneity of a sample, as rare genetic variants may provide fuel for selection and rare members of a complex community ca
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Randel, Melissa. "New Technology Development for Next-Generation Sequencing." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22704.

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Next-Generation Sequencing (NGS) technologies have been evolving at an unparalleled pace. The ability to generate millions of base pairs of data in a short time and at lower cost than previously has led to a dramatic expansion of technologies within the field. This dissertation discusses the development and validation of new methods for assessing genomic variation, dynamic changes in gene expression, high-accuracy sequencing, and analysis of recombination events. By reducing the cost of analyzing many samples for genetic divergence by genotyping the same region of the genome in multiple samp
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Books on the topic "Next Generation Sequencing"

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Wong, Lee-Jun C., ed. Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4.

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Head, Steven R., Phillip Ordoukhanian, and Daniel R. Salomon, eds. Next Generation Sequencing. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7514-3.

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Suravajhala, Prashanth N., and Jeff W. Bizzaro. Next-Generation Sequencing. CRC Press, 2025. https://doi.org/10.1201/9781003354062.

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Kwon, Young Min, and Steven C. Ricke, eds. High-Throughput Next Generation Sequencing. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-089-8.

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Harbers, Matthias, and Günter Kahl, eds. Tag-Based Next Generation Sequencing. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527644582.

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Kahl, Günter, and Matthias Harbers. Tag-based next generation sequencing. Wiley-Blackwell, 2012.

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Kappelmann-Fenzl, Melanie, ed. Next Generation Sequencing and Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3.

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Wu, Wei, and Hani Choudhry, eds. Next Generation Sequencing in Cancer Research. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7645-0.

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Masoudi-Nejad, Ali, Zahra Narimani, and Nazanin Hosseinkhan. Next Generation Sequencing and Sequence Assembly. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7726-6.

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Elloumi, Mourad, ed. Algorithms for Next-Generation Sequencing Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59826-0.

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Book chapters on the topic "Next Generation Sequencing"

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White, Lisa D. "History of DNA Sequencing Technologies." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_1.

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Chen, Rui, and Feng Wang. "NGS Analysis of Heterogeneous Retinitis Pigmentosa." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_10.

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Wong, Lee-Jun C. "Next-Generation Sequencing Analyses of the Whole Mitochondrial Genome." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_11.

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Vasta, Valeria, and Si Houn Hahn. "Application of Next-Generation Sequencing of Nuclear Genes for Mitochondrial Disorders." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_12.

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Tsui, Nancy Bo Yin, and Yuk Ming Dennis Lo. "Noninvasive Prenatal Diagnosis Using Next-Generation Sequencing." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_13.

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Lubin, Ira M., Lisa Kalman, and Amy S. Gargis. "Guidelines and Approaches to Compliance with Regulatory and Clinical Standards: Quality Control Procedures and Quality Assurance." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_14.

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Zhang, Victor Wei, and Lee-Jun C. Wong. "Validation of NGS-Based DNA Testing and Implementation of Quality Control Procedures." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_15.

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Chin, Ephrem L. H., Victor Wei Zhang, Jing Wang, et al. "Frequently Asked Questions About the Clinical Utility of Next-Generation Sequencing in Molecular Diagnosis of Human Genetic Diseases." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_16.

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Landsverk, Megan L., and Lee-Jun C. Wong. "Clinical Molecular Diagnostic Techniques: A Brief Review." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_2.

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Cui, Hong. "Methods of Gene Enrichment and Massively Parallel Sequencing Technologies." In Next Generation Sequencing. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7001-4_3.

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Conference papers on the topic "Next Generation Sequencing"

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Pandey, Sandeep, Jejji Singh Arora, Kassem AL-Attabi, Ikramova Madina Sunnatilla Qizi, G. Sathi, and Uk Urmila. "Next-Generation Sequencing Data Compression and Storage Solutions." In 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS). IEEE, 2024. http://dx.doi.org/10.1109/iicccs61609.2024.10763778.

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Li, Jing, and Kun Huang. "Next generation sequencing data analysis." In the First ACM International Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1854776.1854781.

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Nalbantoglu, 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.

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Morente-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.

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Gao, 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.

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Erguner, Bekir, Duran Ustek, and Mahmut S. Sagiroglu. "Performance comparison of Next Generation sequencing platforms." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319870.

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Brinza, Dumitru, and Fiona Hyland. "Workshop: Error correction methods in next generation sequencing." In 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2011. http://dx.doi.org/10.1109/iccabs.2011.5729922.

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Nalbantoglu, O. U., and K. Sayood. "Compression of Quality Factors in Next Generation Sequencing." In 2014 Data Compression Conference (DCC). IEEE, 2014. http://dx.doi.org/10.1109/dcc.2014.46.

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Voges, Jan, Marco Munderloh, and Jorn Ostermann. "Predictive Coding of Aligned Next-Generation Sequencing Data." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.98.

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Wan, Raymond, and Kiyoshi Asai. "Sorting next generation sequencing data improves compression effectiveness." In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2010. http://dx.doi.org/10.1109/bibmw.2010.5703863.

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Reports on the topic "Next Generation Sequencing"

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Chelsie, Geyer. Applications of Clinical Microbial Next-Generation Sequencing. American Society for Microbiology, 2015. http://dx.doi.org/10.1128/aamcol.apr.2015.

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Vuyisich, Momchilo. Next generation sequencing (NGS)technologies and applications. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1050518.

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Lai, 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, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0008.

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Tarozzi, Martina Elena. Next Generation Sequencing Technologies, Bioinformatics and Artificial Intelligence: A Shared Time-line. MZB Standard Enterprise, 2024. http://dx.doi.org/10.57098/scirevs.biology.3.2.2.

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This review provides a comprehensive overview of the fast-paced and intertwined evolution of three pivotal fields: next-generation sequencing (NGS) technologies, bioinformatics, and artificial intelligence (AI). The paper begins by tracing the development of sequencing technologies and highlights how advancements in genetic sequencing have led to an explosion of biological data, necessitating the rise of bioinformatics for data management and analysis. The review next covers the primary steps and methods used in bioinformatic analysis and concludes by reporting some of the technical and biolog
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Du, Zhi-Qiang, and Max F. Rothschild. Next Generation Sequencing to Discover Genetic Markers for Pacific White Shrimp. Iowa State University, 2011. http://dx.doi.org/10.31274/ans_air-180814-35.

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Olson, 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, 2015. http://dx.doi.org/10.6028/nist.sp.1183.

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Zhang, Haijuan. Updating Quality Scores During HMM-Based Correction of Illumina Next Generation Sequencing Data. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-1537.

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Koay, 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, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0111.

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Review question / Objective: This systematic review aims to summarize and critically analyse the methodology and findings of studies which have utilized sequencing techniques to elucidate the microbial profiles of peri-implantitis. Condition being studied: Peri-implantitis is defined as an infection of the peri-implant tissues accompanied by suppuration and clinically significant progressing crestal bone loss after the adaptive phase, leading to decreased osseointegration and pocket formation. Eligibility criteria: Original studies investigating the microbiome of peri-implant tissues through n
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Liao, Jiadan. Comparison of metagenomic next-generation sequencing technology and GeneXpert MTB/RIF assay in tuberculosis:a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.4.0111.

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Cieśla, Marek. NGS Bladder cancer. University of Rzeszow, 2024. http://dx.doi.org/10.15584/ngs.rd.2024.

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The study group comprises 46 patients with urothelial bladder cancers referred for transurethral resection of the tumour. A molecular study on tumour-derived DNA was performed using next-generation sequencing. Somatic mutations were screened in 50 genes involved in cancerogenesis
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