The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
The role of replicates for error mitigation in next-generation sequencing
Open accessAbstract
Advances in next-generation sequencing (NGS) technologies have rapidly improved sequencing fidelity and substantially decreased sequencing error rates. However, given that there are billions of nucleotides in a human genome, even low experimental error rates yield many errors in variant calls. Erroneous variants can mimic true somatic and rare variants, thus requiring costly confirmatory experiments to minimize the number of false positives. Here, we discuss sources of experimental errors in NGS and how replicates can be used to abate such errors.
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Cites
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Cited by
A universal SNP and small-indel variant caller using deep neural networks
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Toward better understanding of artifacts in variant calling from high-coverage samples
Li, H. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu356 · Cited by 892
Sequencing pools of individuals — mining genome-wide polymorphism data without big funding
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Metadata
- Authors
- Robasky, K., Lewis, N. E., & Church, G. M.
- Venue
- Nature Reviews Genetics
- Published
- 2013-12-10
- Volume
- 15
- Issue
- 1
- Pages
- 56-62
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2009783955
- Cited by
- 302
- References
- 99
- FWCI
- 2.16
- Type
- journal article
- Language
- en
- Open access
- green
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