WHdenovo

WHdenovo performs haplotype-resolved de novo assembly of diploid genomes from related individuals by integrating Illumina short-read and Pacific Biosciences (PacBio) long-read sequencing data.


Key Features:

  • Pedigree Sequence Graph Approach: Constructs a pedigree sequence graph that integrates Illumina short reads from related individuals to represent diploid sequence variation.
  • Integrated short- and long-read data: Aligns PacBio long reads to the pedigree sequence graph to leverage long-read contiguity together with short-read accuracy.
  • Cost-Effective Sequencing Coverage: Demonstrates chromosomal-scale phased assemblies using combined data with as little as 30× Illumina and 15× PacBio coverage per individual in a trio.
  • Haplotype Resolution and Variant Phasing: Partitions aligned long reads into two haplotypes to produce phased assemblies and enables detection and phasing of variants within pedigrees.

Scientific Applications:

  • Mendelian disease research: Enables identification and phasing of causal variants within trios for studies of heritable disorders.
  • Population genomics: Provides chromosomal-scale phased assemblies suitable for haplotype-level analyses in population and evolutionary studies.
  • Large-scale pedigree sequencing projects: Supports projects such as the Personal Genome Project, Vertebrate Genome Project (VGP), and Genome in a Bottle (GIAB) that require high-quality haplotype-resolved assemblies from related individuals.

Methodology:

Constructs a pedigree sequence graph from Illumina short reads, aligns PacBio long reads to the graph, and partitions aligned reads into two haplotypes to generate phased assemblies optimized for trios.

Topics

Details

License:
MIT
Programming Languages:
C++, Python
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Garg S, Aach J, Li H, Sebenius I, Durbin R, Church G. A haplotype-aware<i>de novo</i>assembly of related individuals using pedigree sequence graph. Bioinformatics. 2019;36(8):2385-2392. doi:10.1093/bioinformatics/btz942. PMID:31860070. PMCID:PMC7759745.

PMID: 31860070
PMCID: PMC7759745
Funding: - National Institutes of Health: K99HG010906, R01HG010040, RM1HG008525, U01HG010971