NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks
Author(s) -
Neng Huang,
Fan Nie,
Peng Ni,
Feng Luo,
Xin Gao,
Jianxin Wang
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab354
Subject(s) - polishing , contig , computer science , column (typography) , sequence assembly , matrix (chemical analysis) , algorithm , nanopore , nanopore sequencing , feature (linguistics) , data mining , engineering drawing , pattern recognition (psychology) , genome , artificial intelligence , engineering , materials science , nanotechnology , mechanical engineering , biology , telecommunications , biochemistry , gene expression , linguistics , philosophy , transcriptome , frame (networking) , composite material , gene
Oxford Nanopore sequencing producing long reads at low cost has made many breakthroughs in genomics studies. However, the large number of errors in Nanopore genome assembly affect the accuracy of genome analysis. Polishing is a procedure to correct the errors in genome assembly and can improve the reliability of the downstream analysis. However, the performances of the existing polishing methods are still not satisfactory.
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