| Literature DB >> 18604217 |
Yaniv Erlich1, Partha P Mitra, Melissa delaBastide, W Richard McCombie, Gregory J Hannon.
Abstract
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.Entities:
Mesh:
Year: 2008 PMID: 18604217 PMCID: PMC2978646 DOI: 10.1038/nmeth.1230
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547