Journal
NATURE METHODS
Volume 5, Issue 8, Pages 679-682Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nmeth.1230
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Funding
- Howard Hughes Medical Institute Funding Source: Medline
- NCI NIH HHS [P01 CA013106-37, P01 CA013106-38, P01 CA013106] Funding Source: Medline
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Next-generation sequencing is limited to short read lengths and by high error rates. We systematically analyzed sources of noise in the Illumina Genome Analyzer that contribute to these high error rates and developed a base caller, Alta-Cyclic, that uses machine learning to compensate for noise factors. Alta-Cyclic substantially improved the number of accurate reads for sequencing runs up to 78 bases and reduced systematic biases, facilitating confident identification of sequence variants.
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