CERN: 使用隐藏的Markov模型纠正 Raw Nanopore 信号错误
CERN: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
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Nanopore sequencing can read substantially longer sequences of nucleic acid molecules than other sequencing methods, which has led to advances in genomic analysis such as the gapless human genome assembly. By analyzing the raw electrical signal reads that nanopore sequencing generates from molecules, existing works can map these reads without translating them into DNA characters (i.e., basecalling), allowing for quick and efficient analysis of sequencing data. However, raw signals often contain
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