The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
From Benchtop to Desktop: Important Considerations when Designing Amplicon Sequencing Workflows
Open accessAbstract
Amplicon sequencing has been the method of choice in many high-throughput DNA sequencing (HTS) applications. To date there has been a heavy focus on the means by which to analyse the burgeoning amount of data afforded by HTS. In contrast, there has been a distinct lack of attention paid to considerations surrounding the importance of sample preparation and the fidelity of library generation. No amount of high-end bioinformatics can compensate for poorly prepared samples and it is therefore imperative that careful attention is given to sample preparation and library generation within workflows, especially those involving multiple PCR steps. This paper redresses this imbalance by focusing on aspects pertaining to the benchtop within typical amplicon workflows: sample screening, the target region, and library generation. Empirical data is provided to illustrate the scope of the problem. Lastly, the impact of various data analysis parameters is also investigated in the context of how the data was initially generated. It is hoped this paper may serve to highlight the importance of pre-analysis workflows in achieving meaningful, future-proof data that can be analysed appropriately. As amplicon sequencing gains traction in a variety of diagnostic applications from forensics to environmental DNA (eDNA) it is paramount workflows and analytics are both fit for purpose.
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The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
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Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Reagent and laboratory contamination can critically impact sequence-based microbiome analyses
Salter, S. J., Cox, M. J., Turek, E. M., Calus, S. T., Cookson, W. O., Moffatt, M. F., Turner, P., Parkhill, J., Loman, N. J., & Walker, A. W. (2014) · BMC Biology · doi:10.1186/s12915-014-0087-z · Cited by 3,463
Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies
Schloss, P. D., Gevers, D., & Westcott, S. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027310 · Cited by 2,112
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Towards next-generation biodiversity assessment using DNA metabarcoding
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Dynamics and associations of microbial community types across the human body
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Effects of GC Bias in Next-Generation-Sequencing Data on De Novo Genome Assembly
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Cited by
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities
Deiner, K., Bik, H. M., Mächler, E., Seymour, M., Lacoursière‐Roussel, A., Altermatt, F., Creer, S., Bista, I., Lodge, D. M., de Vere, N., et al. (2017) · Molecular Ecology · doi:10.1111/mec.14350 · Cited by 1,918
Scrutinizing key steps for reliable metabarcoding of environmental samples
Alberdi, A., Aizpurua, O., Gilbert, M. T. P., & Bohmann, K. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12849 · Cited by 688
Metadata
- Authors
- Murray, D. C., Coghlan, M. L., & Bunce, M.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-04-22
- Volume
- 10
- Issue
- 4
- Pages
- e0124671
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2124850594
- Cited by
- 224
- References
- 8
- FWCI
- 5.79
- Type
- journal article
- Language
- en
- Open access
- gold
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