In this PacBio Virtual Global Summit 2020 presentation, Evan Eichler of the University of Washington discusses approaches to apply long-read sequencing to generate complete telomere-to-telomere assembly of chromosomes. Eichler focuses…
In this PacBio Virtual Global Summit 2020 presentation, Shawn Levy of Discovery Life Sciences shares work on how the ability to reliably detect and characterize the spectrum of sequence variants…
In this PacBio Virtual Global Summit 2020 presentation, Pi-Chuan Chang of Google shares how DeepVariant identifies SNPs and Indels in PacBio HiFi data, starting from the v0.8 release (April 2019)….
In this PacBio Virtual Global Summit 2020 presentation, Neil Miller of Children’s Mercy Hospital in Kansas City describes how third generation sequencing offers sensitive single nucleotide variant detection, variant phasing…
In this PacBio Virtual Global Summit 2020 presentation, Nicole Newell of PacBio provides an overview of the library preparation kits available for highly accurate long read (HiFi sequencing) applications.
In this PacBio Virtual Global Summit 2020 presentation, Jeremy Schmutz of HudsonAlpha Institute describes applications for PacBio HiFi sequencing to detect structual variations and assembly human genomes, as well as…
Watch this short video to learn about highly accurate long-read sequencing and how HiFi reads can advance scientific discovery.
Watch this short tutorial to learn how to get started with the variant detection application using highly accurate long reads (HiFi reads).
In this PacBio Virtual Global Summit 2020 presentation, Jenny Ekholm of PacBio shares how the current solve rate for rare diseases is
In this PAGBio Day 2021 presentation, Bo Wang of Cold Harbor Spring Laboratory shares his work constructing chromosome-level genome assemblies for two sorghum inbred lines using long-read sequencing leading to…
During the past decade, the search for pathogenic mutations in rare human genetic diseases has involved huge efforts to sequence coding regions, or the entire genome, using massively parallel short-read sequencers. However, the approximate current diagnostic rate is <50% using these approaches, and there remain many rare genetic diseases with unknown cause. There may be many reasons for this, but one plausible explanation is that the responsible mutations are in regions of the genome that are difficult to sequence using conventional technologies (e.g., tandem-repeat expansion or complex chromosomal structural aberrations). Despite the drawbacks of high cost and a shortage of standard analytical methods, several studies have analyzed pathogenic changes in the genome using long-read sequencers. The results of these studies provide hope that further application of long-read sequencers to identify the causative mutations in unsolved genetic diseases may expand our understanding of the human genome and diseases. Such approaches may also be applied to molecular diagnosis and therapeutic strategies for patients with genetic diseases in the future.
The sequence and assembly of human genomes using long-read sequencing technologies has revolutionized our understanding of structural variation and genome organization. We compared the accuracy, continuity, and gene annotation of genome assemblies generated from either high-fidelity (HiFi) or continuous long-read (CLR) datasets from the same complete hydatidiform mole human genome. We find that the HiFi sequence data assemble an additional 10% of duplicated regions and more accurately represent the structure of tandem repeats, as validated with orthogonal analyses. As a result, an additional 5 Mbp of pericentromeric sequences are recovered in the HiFi assembly, resulting in a 2.5-fold increase in the NG50 within 1 Mbp of the centromere (HiFi 480.6 kbp, CLR 191.5 kbp). Additionally, the HiFi genome assembly was generated in significantly less time with fewer computational resources than the CLR assembly. Although the HiFi assembly has significantly improved continuity and accuracy in many complex regions of the genome, it still falls short of the assembly of centromeric DNA and the largest regions of segmental duplication using existing assemblers. Despite these shortcomings, our results suggest that HiFi may be the most effective standalone technology for de novo assembly of human genomes. © 2019 John Wiley & Sons Ltd/University College London.
Zygotic genome activation (ZGA) following fertilization is accomplished through a process termed the maternal-to-zygotic transition, during which the maternal RNAs and proteins are degraded and zygotic genome is transcriptionally activated.1 In mice, minor ZGA occurs from S phase of the zygote to G1 phase of the two-cell (2C) embryo, while major ZGA takes place during the middle-to-late 2C stage with a burst of transcription of totipotent cleavage stage-specific genes and retrotransposons.2Dux has been recently identified and considered as a master inducer that regulates the ZGA process.3–5Dux can directly bind and robustly activate 2C stage-specific ZGA transcripts and convert mouse embryonic stem cells (mESCs) to a 2C-like state with unique features that resembles the 2C embryos.4Intriguingly, ~20% embryos with zygotic depletion of Dux unexpectedly reached morula or blastocyst stage even though defective ZGA program was detected.
We present high quality, phased genome assemblies representative of taurine and indicine cattle, subspecies that differ markedly in productivity-related traits and environmental adaptation. We report a new haplotype-aware scaffolding and polishing pipeline using contigs generated by the trio binning method to produce haplotype-resolved, chromosome-level genome assemblies of Angus (taurine) and Brahman (indicine) cattle breeds. These assemblies were used to identify structural and copy number variants that differentiate the subspecies and we found variant detection was sensitive to the specific reference genome chosen. Six gene families with immune related functions are expanded in the indicine lineage. Assembly of the genomes of both subspecies from a single individual enabled transcripts to be phased to detect allele-specific expression, and to study genome-wide selective sweeps. An indicus-specific extra copy of fatty acid desaturase is under positive selection and may contribute to indicine adaptation to heat and drought.
New technologies and analysis methods are enabling genomic structural variants (SVs) to be detected with ever-increasing accuracy, resolution, and comprehensiveness. Translating these methods to routine research and clinical practice requires robust benchmark sets. We developed the first benchmark set for identification of both false negative and false positive germline SVs, which complements recent efforts emphasizing increasingly comprehensive characterization of SVs. To create this benchmark for a broadly consented son in a Personal Genome Project trio with broadly available cells and DNA, the Genome in a Bottle (GIAB) Consortium integrated 19 sequence-resolved variant calling methods, both alignment- and de novo assembly-based, from short-, linked-, and long-read sequencing, as well as optical and electronic mapping. The final benchmark set contains 12745 isolated, sequence-resolved insertion and deletion calls =50 base pairs (bp) discovered by at least 2 technologies or 5 callsets, genotyped as heterozygous or homozygous variants by long reads. The Tier 1 benchmark regions, for which any extra calls are putative false positives, cover 2.66 Gbp and 9641 SVs supported by at least one diploid assembly. Support for SVs was assessed using svviz with short-, linked-, and long-read sequence data. In general, there was strong support from multiple technologies for the benchmark SVs, with 90 % of the Tier 1 SVs having support in reads from more than one technology. The Mendelian genotype error rate was 0.3 %, and genotype concordance with manual curation was >98.7 %. We demonstrate the utility of the benchmark set by showing it reliably identifies both false negatives and false positives in high-quality SV callsets from short-, linked-, and long-read sequencing and optical mapping.
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