Mining statistically-solid k-mers for accurate NGS error correction

Mining statistically-solid k-mers for accurate NGS error correction

Abstract Background NGS data contains many machine-induced errors. The most advanced methods for the error correction heavily depend on the selection of solid k-mers. A solid k-mer is a k-mer frequently occurring in NGS reads. The other k-mers are called weak k-mers. A solid k-mer does not likely co...

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Bibliographic Details
Main Authors: Liang Zhao, Jin Xie, Lin Bai, Wen Chen, Mingju Wang, Zhonglei Zhang, Yiqi Wang, Zhe Zhao, Jinyan Li
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Genomics
Subjects:
Error correction
Next-generation sequencing
z-score
Online Access:http://link.springer.com/article/10.1186/s12864-018-5272-y

Internet

http://link.springer.com/article/10.1186/s12864-018-5272-y

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