Nature CommunicationsBioinformaticsPeer-reviewed journal article
de novo diploid genome assembly using long noisy reads
Fan NieiD, Peng NiiD, Neng HuangiD, Jun Zhang, Zhenyu WangiD, Chuan‐Le XiaoiD, Feng LuoiD, Jianxin WangiD
- Citations
- 35
- FWCI
- 4.75
- Field percentile
- top 3%
Abstract
The high sequencing error rate has impeded the application of long noisy reads for diploid genome assembly. Most existing assemblers failed to generate high-quality phased assemblies using long noisy reads. Here, we present PECAT, a Phased Error Correction and Assembly Tool, for reconstructing diploid genomes from long noisy reads. We design a haplotype-aware error correction method that can retain heterozygote alleles while correcting sequencing errors. We combine a corrected read SNP caller and a raw read SNP caller to further improve the identification of inconsistent overlaps in the string graph. We use a grouping method to assign reads to different haplotype groups. PECAT efficiently assembles diploid genomes using Nanopore R9, PacBio CLR or Nanopore R10 reads only. PECAT generates more contiguous haplotype-specific contigs compared to other assemblers. Especially, PECAT achieves nearly haplotype-resolved assembly on B. taurus (BisonxSimmental) using Nanopore R9 reads and phase block NG50 with 59.4/58.0 Mb for HG002 using Nanopore R10 reads.
- organism: human
- organism: multiple species
- assay: long-read sequencing
- research focus: genome assembly
- approach: statistical model
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