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PMID: 31778144 Published · ppublish English Journal Article

NextPolish: a fast and efficient genome polishing tool for long-read assembly.

Bioinformatics (Oxford, England) ·Vol. 36 ·No. 7 ·2020-00-01 ·Pages 2253-2255

Hu J, Fan J, Sun Z, Liu S

Abstract

Although long-read sequencing technologies can produce genomes with long contiguity, they suffer from high error rates. Thus, we developed NextPolish, a tool that efficiently corrects sequence errors in genomes assembled with long reads. This new tool consists of two interlinked modules that are designed to score and count K-mers from high quality short reads, and to polish genome assemblies containing large numbers of base errors. When evaluated for the speed and efficiency using human and a plant (Arabidopsis thaliana) genomes, NextPolish outperformed Pilon by correcting sequence errors faster, and with a higher correction accuracy. NextPolish is implemented in C and Python. The source code is available from https://github.com/Nextomics/NextPolish. Supplementary data are available at Bioinformatics online.

MeSH Terms
Algorithms Genome High-Throughput Nucleotide Sequencing Humans Poland Sequence Analysis, DNA Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Hu Jiang
GrandOmics Biosciences, Beijing, 102200, China.
Fan Junpeng
GrandOmics Biosciences, Beijing, 102200, China.
Sun Zongyi
GrandOmics Biosciences, Beijing, 102200, China.
Liu Shanlin
GrandOmics Biosciences, Beijing, 102200, China.
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2020-00-01
Pages
2253-2255
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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