Hapo-G

Hapo-G applies haplotype-aware polishing to genome assemblies, improving base accuracy in diploid and heterozygous genomes by using phasing information and integrating short-read and long-read sequencing data from technologies such as Pacific Biosciences and Oxford Nanopore.


Key Features:

  • Haplotype-Aware Polishing: Incorporates phasing information to distinguish and preserve the two haplotypes in diploid genomes, reducing haplotype switching and protecting coding-region integrity.
  • Integration of High-Quality Reads: Combines short-read (high-accuracy) and long-read (long-contiguity) sequencing data, supporting platforms such as Pacific Biosciences and Oxford Nanopore to leverage their complementary strengths.
  • Enhanced Assembly Quality: Produces consensus sequences that accurately reflect both alleles in diploid organisms, improving base-level accuracy and reducing errors like premature stop codons in coding regions.

Scientific Applications:

  • Diploid and heterozygous genome assembly polishing: Polishing assemblies to generate haplotype-consistent consensus sequences for diploid and heterozygous genomes.
  • Gene function and coding-sequence analysis: Improving base accuracy in coding regions to avoid artifacts that affect gene annotation and functional interpretation.
  • Evolutionary biology and personalized medicine: Enabling more reliable downstream analyses that require accurate individual genotypes for evolutionary studies and personalized-medicine applications.

Methodology:

Employs algorithms that use phasing information to distinguish haplotypes during polishing and integrates short-read and long-read data to correct errors characteristic of Pacific Biosciences and Oxford Nanopore sequencing, producing haplotype-consistent consensus sequences.

Topics

Details

License:
CECILL-2.1
Tool Type:
command-line tool
Programming Languages:
C, Python
Added:
9/8/2022
Last Updated:
11/24/2024

Operations

Publications

Aury J, Istace B. Hapo-G, haplotype-aware polishing of genome assemblies with accurate reads. NAR Genomics and Bioinformatics. 2021;3(2). doi:10.1093/nargab/lqab034. PMID:33987534. PMCID:PMC8092372.

PMID: 33987534
PMCID: PMC8092372
Funding: - Agence Nationale de la Recherche: ANR-10-INBS-09–08