Tools
Tools
Schirmer, Melanie, Ijaz, Umer Z., D'Amore, Rosalinda, Hall, Neil 
ORCID: https://orcid.org/0000-0003-2808-0009, Sloan, William T. and Quince, Christopher
(2015)
Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform.
Nucleic Acids Research, 43 (6).
ISSN 0305-1048
Abstract
With read lengths of currently up to 2 × 300 bp, high throughput and low sequencing costs Illumina's MiSeq is becoming one of the most utilized sequencing platforms worldwide. The platform is manageable and affordable even for smaller labs. This enables quick turnaround on a broad range of applications such as targeted gene sequencing, metagenomics, small genome sequencing and clinical molecular diagnostics. However, Illumina error profiles are still poorly understood and programs are therefore not designed for the idiosyncrasies of Illumina data. A better knowledge of the error patterns is essential for sequence analysis and vital if we are to draw valid conclusions. Studying true genetic variation in a population sample is fundamental for understanding diseases, evolution and origin. We conducted a large study on the error patterns for the MiSeq based on 16S rRNA amplicon sequencing data. We tested state-of-the-art library preparation methods for amplicon sequencing and showed that the library preparation method and the choice of primers are the most significant sources of bias and cause distinct error patterns. Furthermore we tested the efficiency of various error correction strategies and identified quality trimming (Sickle) combined with error correction (BayesHammer) followed by read overlapping (PANDAseq) as the most successful approach, reducing substitution error rates on average by 93%.
| Item Type: | Article |
|---|---|
| Additional Information: | Publisher Copyright: © 2015 The Author(s). |
| Uncontrolled Keywords: | genetics ,/dk/atira/pure/subjectarea/asjc/1300/1311 |
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 09 Sep 2022 14:30 |
| Last Modified: | 20 Oct 2022 19:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/88035 |
| DOI: | 10.1093/nar/gku1341 |
Actions (login required)
 |
View Item |