Extended haplotype-phasing of long-read de novo genome assemblies using Hi-C.
Zev N KronenbergArang RhieSergey KorenGregory T ConcepcionPaul PelusoKatherine M MunsonDavid PorubskyKristen KuhnKathryn A MuellerWai Yee LowStefan HiendlederOlivier FedrigoIvan LiachkoRichard J HallAdam M PhillippyEvan E EichlerJohn Lewis WilliamsTimothy P L SmithErich D JarvisShawn T SullivanSarah B KinganPublished in: Nature communications (2021)
Haplotype-resolved genome assemblies are important for understanding how combinations of variants impact phenotypes. To date, these assemblies have been best created with complex protocols, such as cultured cells that contain a single-haplotype (haploid) genome, single cells where haplotypes are separated, or co-sequencing of parental genomes in a trio-based approach. These approaches are impractical in most situations. To address this issue, we present FALCON-Phase, a phasing tool that uses ultra-long-range Hi-C chromatin interaction data to extend phase blocks of partially-phased diploid assembles to chromosome or scaffold scale. FALCON-Phase uses the inherent phasing information in Hi-C reads, skipping variant calling, and reduces the computational complexity of phasing. Our method is validated on three benchmark datasets generated as part of the Vertebrate Genomes Project (VGP), including human, cow, and zebra finch, for which high-quality, fully haplotype-resolved assemblies are available using the trio-based approach. FALCON-Phase is accurate without having parental data and performance is better in samples with higher heterozygosity. For cow and zebra finch the accuracy is 97% compared to 80-91% for human. FALCON-Phase is applicable to any draft assembly that contains long primary contigs and phased associate contigs.
Keyphrases
- endothelial cells
- induced apoptosis
- genome wide
- cell cycle arrest
- gene expression
- high resolution
- copy number
- dna methylation
- electronic health record
- single cell
- oxidative stress
- induced pluripotent stem cells
- pluripotent stem cells
- transcription factor
- cell death
- mass spectrometry
- signaling pathway
- rna seq
- artificial intelligence
- endoplasmic reticulum stress