Abstract
Abstract Motivation: The accuracy of reference genomes is important for downstream analysis but a low error rate requires expensive manual interrogation of the sequence. Here, we describe a novel algorithm (Iterative Correction of Reference Nucleotides) that iteratively aligns deep coverage of short sequencing reads to correct errors in reference genome sequences and evaluate their accuracy. Results: Using Plasmodium falciparum (81% A + T content) as an extreme example, we show that the algorithm is highly accurate and corrects over 2000 errors in the reference sequence. We give examples of its application to numerous other eukaryotic and prokaryotic genomes and suggest additional applications. Availability: The software is available at http://icorn.sourceforge.net Contact: tdo@sanger.ac.uk; cnewbold@hammer.imm.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
Keywords
Reference genomeComputer scienceSoftwareGenomeSequence (biology)Sanger sequencingComputational biologyData miningDNA sequencingAlgorithmBiologyGeneticsDNAProgramming languageGene
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Publication Info
- Year
- 2010
- Type
- article
- Volume
- 26
- Issue
- 14
- Pages
- 1704-1707
- Citations
- 222
- Access
- Closed
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Cite This
Thomas D. Otto,
Mandy Sanders,
Matthew Berriman
et al.
(2010).
Iterative Correction of Reference Nucleotides (iCORN) using second generation sequencing technology.
Bioinformatics
, 26
(14)
, 1704-1707.
https://doi.org/10.1093/bioinformatics/btq269
Identifiers
- DOI
- 10.1093/bioinformatics/btq269