NmTHC: a hybrid error correction method based on a generative neural machine translation model with transfer learning
Rongshu Wang,
Jianhua Chen
Abstract:Backgrounds
The single-pass long reads generated by third-generation sequencing technology exhibit a higher error rate. However, the circular consensus sequencing (CCS) produces shorter reads. Thus, it is effective to manage the error rate of long reads algorithmically with the help of the homologous high-precision and low-cost short reads from the Next Generation Sequencing (NGS) technology.
Methods
In this work, a hybrid error correction method (… Show more
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