Systematic evaluation of error rates and causes in short samples in next-generation sequencing-Reference-Cited by-同舟云学术

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Systematic evaluation of error rates and causes in short samples in next-generation sequencing

Published:2018-07-19 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Pfeiffer Franziska,Gröber Carsten,Blank Michael,Händler Kristian,Beyer Marc^ORCID,Schultze Joachim L.^ORCID,Mayer Günter

Funder

Deutsche Forschungsgemeinschaft (German Research Foundation)

EC | European Research Council (ERC)

Bundesministerium für Wirtschaft und Energie (Federal Ministry for Economic Affairs and Energy)

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-29325-6.pdf

Reference34 articles.

1. Kulski, J. K. In Next Generation Sequencing - Advances, Applications and Challenges (ed Jerzy K. Kulski) Ch. 01 (InTech, 2016).

2. Fox, E. J., Reid-Bayliss, K. S., Emond, M. J. & Loeb, L. A. Accuracy of Next Generation Sequencing Platforms. Next generation, sequencing & applications 1, https://doi.org/10.4172/jngsa.1000106 (2014).

3. Fuller, C. W. et al. The challenges of sequencing by synthesis. Nat. Biotechnol. 27, 1013–1023, https://doi.org/10.1038/nbt.1585 (2009).

4. Massingham, T. & Goldman, N. All Your Base: a fast and accurate probabilistic approach to base calling. Genome Biol. 13, R13, https://doi.org/10.1186/gb-2012-13-2-r13 (2012).

5. Wang, B., Wan, L., Wang, A. & Li, L. M. An adaptive decorrelation method removes Illumina DNA base-calling errors caused by crosstalk between adjacent clusters. Scientific reports 7, 41348, https://doi.org/10.1038/srep41348 (2017).

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