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NextPolish2: A Repeat-aware Polishing Tool for Genomes Assembled Using HiFi Long Reads.
Hu, Jiang; Wang, Zhuo; Liang, Fan; Liu, Shan-Lin; Ye, Kai; Wang, De-Peng.
Afiliação
  • Hu J; School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
  • Wang Z; GrandOmics Biosciences, Beijing 102206, China.
  • Liang F; GrandOmics Biosciences, Beijing 102206, China.
  • Liu SL; GrandOmics Biosciences, Beijing 102206, China.
  • Ye K; Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.
  • Wang DP; School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Article em En | MEDLINE | ID: mdl-38862426
ABSTRACT
The high-fidelity (HiFi) long-read sequencing technology developed by PacBio has greatly improved the base-level accuracy of genome assemblies. However, these assemblies still contain base-level errors, particularly within the error-prone regions of HiFi long reads. Existing genome polishing tools usually introduce overcorrections and haplotype switch errors when correcting errors in genomes assembled from HiFi long reads. Here, we describe an upgraded genome polishing tool - NextPolish2, which can fix base errors remaining in those "highly accurate" genomes assembled from HiFi long reads without introducing excessive overcorrections and haplotype switch errors. We believe that NextPolish2 has a great significance to further improve the accuracy of telomere-to-telomere (T2T) genomes. NextPolish2 is freely available at https//github.com/Nextomics/NextPolish2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Limite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software Limite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Ano de publicação: 2024 Tipo de documento: Article