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Updated: May 9, 2026

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Highly accurate assembly polishing with DeepPolisher.

Mira Mastoras1, Mobin Asri1, Lucas Brambrink2

  • 1UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.

Biorxiv : the Preprint Server for Biology
|September 30, 2024
PubMed
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DeepPolisher, a new AI model, significantly improves genome assembly accuracy by reducing errors. This tool enhances biological research by providing more reliable DNA sequences, especially for complex genomes.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate genome assemblies are crucial for biological research but are often limited by technological errors.
  • Existing genome polishing methods struggle to balance over- and under-correction of base-level errors.

Purpose of the Study:

  • To introduce DeepPolisher, an encoder-only transformer model designed for accurate genome assembly polishing.
  • To develop PHARAOH (Phasing Reads in Areas Of Homozygosity) for precise read phasing in diploid assemblies.

Main Methods:

  • Utilized Pacbio HiFi read alignments to a diploid assembly for sequence correction prediction.
  • Employed ultra-long Oxford Nanopore (ONT) data with PHARAOH to ensure accurate phasing and heterozygous edit introduction.
  • Applied the DeepPolisher pipeline to 180 assemblies from the Human Pangenome Reference Consortium (HPRC) data release.

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Main Results:

  • The DeepPolisher pipeline reduced overall assembly errors by approximately 50%.
  • Achieved a greater than 70% reduction in indel errors.
  • Demonstrated an average Quality Value (QV) improvement of 3.4 (54% error reduction) across HPRC assemblies.

Conclusions:

  • DeepPolisher offers a significant advancement in genome assembly polishing, improving accuracy and reliability.
  • The integration of PHARAOH enhances the handling of heterozygous regions, a common challenge in diploid assemblies.
  • This pipeline provides a robust solution for error correction in large-scale genomic projects like the HPRC.