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Standardization and quality management in next-generation sequencing

  • DNA sequencing continues to evolve quickly even after > 30 years. Many new platforms suddenly appeared and former established systems have vanished in almost the same manner. Since establishment of next-generation sequencing devices, this progress gains momentum due to the continually growing demand for higher throughput, lower costs and better quality of data. In consequence of this rapid development, standardized procedures and data formats as well as comprehensive quality management considerations are still scarce. Here, we listed and summarized current standardization efforts and quality management initiatives from companies, organizations and societies in form of published studies and ongoing projects. These comprise on the one hand quality documentation issues like technical notes, accreditation checklists and guidelines for validation of sequencing workflows. On the other hand, general standard proposals and quality metrics are developed and applied to the sequencing workflow steps with the main focus on upstream processes. Finally, certain standard developments for downstream pipeline data handling, processing and storage are discussed in brief. These standardization approaches represent a first basis for continuing work in order to prospectively implement next-generation sequencing in important areas such as clinical diagnostics, where reliable results and fast processing is crucial. Additionally, these efforts will exert a decisive influence on traceability and reproducibility of sequence data.

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Metadaten
URN:urn:nbn:de:kobv:526-opus4-6637
Publisher DOI:https://doi.org/10.1016/j.atg.2016.06.001
Author:Christoph EndrullatORCiD, Jörn GlöklerORCiD, Philipp Franke, Marcus FrohmeORCiDGND
ISSN:2212-0661
Parent Title (English):Applied & Translational Genomics
Document Type:Article
Language:English
Year of Publication:2016
Volume:10
First Page:2
Last Page:9
Faculties an central facilities:Fachbereich Ingenieur- und Naturwissenschaften
Publishing Institution:Technische Hochschule Wildau
Tag:data quality; guideline; next-generation sequencing; quality management; standardization; validation
Source:C. Endrullat et al. / Applied & Translational Genomics 10 (2016) 2–9
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Release Date:2016/09/16
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