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  1. No Access

    Article

    Ancestry and pharmacogenomics of relapse in acute lymphoblastic leukemia

    Mary Relling and colleagues explore the effects of ancestry on the pharmacogenomics of relapse in acute lymphoblastic leukemia. They found that Native American ancestry was associated with risk of relapse but ...

    Jun J Yang, Cheng Cheng, Meenakshi Devidas, Xueyuan Cao, Yi** Fan in Nature Genetics (2011)

  2. No Access

    Article

    Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology

    The increasing volume of whole-genome sequence (WGS) and multi-omics data requires new approaches for analysis. As one solution, we have created the cloud-based Analysis Commons, which brings together genotype...

    Jennifer A Brody, Alanna C Morrison, Joshua C Bis, Jeffrey R O'Connell in Nature Genetics (2017)

  3. No Access

    Article

    Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

    The DNA sequencing technologies in use today produce either highly accurate short reads or less-accurate long reads. We report the optimization of circular consensus sequencing (CCS) to improve the accuracy of...

    Aaron M. Wenger, Paul Peluso, William J. Rowell, Pi-Chuan Chang in Nature Biotechnology (2019)

  4. Article

    Author Correction: A robust benchmark for detection of germline large deletions and insertions

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

    Justin M. Zook, Nancy F. Hansen, Nathan D. Olson, Lesley Chapman in Nature Biotechnology (2020)

  5. No Access

    Article

    A robust benchmark for detection of germline large deletions and insertions

    New technologies and analysis methods are enabling genomic structural variants (SVs) to be detected with ever-increasing accuracy, resolution and comprehensiveness. To help translate these methods to routine r...

    Justin M. Zook, Nancy F. Hansen, Nathan D. Olson, Lesley Chapman in Nature Biotechnology (2020)

  6. Article

    Open Access

    Chromosome-scale, haplotype-resolved assembly of human genomes

    Haplotype-resolved or phased genome assembly provides a complete picture of genomes and their complex genetic variations. However, current algorithms for phased assembly either do not generate chromosome-scale...

    Shilpa Garg, Arkarachai Fungtammasan, Andrew Carroll, Mike Chou in Nature Biotechnology (2021)

  7. Article

    Open Access

    Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing

    Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we...

    Sneha D. Goenka, John E. Gorzynski, Kishwar Shafin, Dianna G. Fisk in Nature Biotechnology (2022)

  8. No Access

    Article

    DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer

    Circular consensus sequencing with Pacific Biosciences (PacBio) technology generates long (10–25 kilobases), accurate ‘HiFi’ reads by combining serial observations of a DNA molecule into a consensus sequence. ...

    Gunjan Baid, Daniel E. Cook, Kishwar Shafin, Taedong Yun in Nature Biotechnology (2023)

  9. No Access

    Article

    Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models

    Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly heritable. While COPD is clinically defined by applying thresholds to summary measures of lung function, a qu...

    Justin Cosentino, Babak Behsaz, Babak Alipanahi, Zachary R. McCaw in Nature Genetics (2023)

  10. Article

    Open Access

    Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction

    Although high-dimensional clinical data (HDCD) are increasingly available in biobank-scale datasets, their use for genetic discovery remains challenging. Here we introduce an unsupervised deep learning model, ...

    Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary R. McCaw in Nature Genetics (2024)