Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
Broad Institute · Boston Latin Academy
Indexed incrossrefdoajpubmed
Abstract
Despite the ever-increasing output of Illumina sequencing data, loci with extreme base compositions are often under-represented or absent. To evaluate sources of base-composition bias, we traced genomic sequences ranging from 6% to 90% GC through the process by quantitative PCR. We identified PCR during library preparation as a principal source of bias and optimized the conditions. Our improved protocol significantly reduces amplification bias and minimizes the previously severe effects of PCR instrument and temperature ramp rate.
Citation impact
1,235
total citations
- FWCI
- 35.25
- Percentile
- 100%
- References
- 22
Citations per year
Authors
9Topics & keywords
Topics
Keywords
- Biology
- Human genetics
- Illumina dye sequencing
- Computational biology
- Genome Biology
- Genetics
- DNA sequencing
- Computational genomics
No related works found for this paper.