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Bioscience

Genomics

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Displaying 76 - 100 of 166

Chromosome-scale, haplotype-resolved assembly of human genomes

December 7, 2020
Author(s)
Justin Zook, Shilpa Garg, Heng Li
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 phasing or require pedigree information, which

Expression of a germline variant in the N-terminal domain of the human DNA glycosylase NTHL1 induces cellular transformation without impairing enzymatic function or substrate specificity

June 16, 2020
Author(s)
Carolyn G. Marsden, Pawel Jaruga, Erdem Coskun, Robyn L. Maher, David S. Pederson, Miral M. Dizdar, Joann B. Sweasy
Oxidatively-induced DNA damage, widely accepted as a key player in the onset of cancer, is predominantly repaired by base excision repair (BER). BER is initiated by DNA glycosylases, which locate and remove damaged bases from DNA. NTHL1 is a bifunctional

A robust benchmark for detection of germline large deletions and insertions

June 15, 2020
Author(s)
Justin Zook, Nathanael David Olson, Marc Salit, Fritz Sedlazeck
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 research and clinical practice, we developed a

A framework for assessing 16S rRNA marker-gene survey data analysis methods using mixtures.

March 13, 2020
Author(s)
Nathanael David Olson, Senthil Kumar, Stephanie Hao, Winston Timp, Marc L. Salit, O Colin Stine, Hector Corrada Bravo
Background: There are a variety of bioinformatic pipelines and downstream analysis methods for analyzing 16S rRNA marker-gene surveys. However, appropriate assessment datasets and metrics are needed as there is limited guidance to decide between available

genomeview - an extensible python-based genomics visualization engine

June 26, 2019
Author(s)
Noah Spies, Justin Zook, Marc L. Salit, Arend Sidow
Visual inspection and analysis is integral to quality control, hypothesis generation, methods development and validation of genomic data. The richness and complexity of genomic data necessitates customized visualizations highlighting specific features of

High-coverage, long-read sequencing of Chinese trio reference samples

June 14, 2019
Author(s)
Justin M. Zook, Nathanael D. Olson, Marc L. Salit, Aaron Wenger, Chunlin Xiao, Robert Sebra
Genome In a Bottle (GIAB) is a consortium hosted by the National Institute of Standards and Technology whose primary objective is the development and characterization of human genomic reference materials. The consortium includes representatives from

Development and Interlaboratory Evaluation of a NIST Reference Material RM 8366 for EGFR and MET Gene Copy Number Measurements

May 21, 2019
Author(s)
Hua-Jun He, Biswajit Das, Megan H. Cleveland, Chen Li, Corinne Camalier, Liang-Chu Liu, Kara L. Norman, Andrew Fellowes, Christopher McEvoy, Steven P. Lund, Jamie L. Almeida, Carolyn R. Steffen, Chris Karlovich, P. M. Williams, Kenneth D. Cole
The National Institute Standard and Technology (NIST) Reference Material RM 8366 was developed to improve the quality of gene copy measurements of EGFR (epidermal growth factor receptor) and MET (proto-oncogene, receptor tyrosine kinase), important targets

Multi-Laboratory Assessment of a New Reference Material for Quality Assurance of Cell-Free Tumor DNA Measurements

May 2, 2019
Author(s)
Hua-Jun He, Erica V. Stein, Yves Konigshofer, Thomas Forbes, Farol L. Tomson, Russell Garlick, Emiko Yamada, Tony Godfrey, Toshiya Abe, Koji Tamura, Michael Borges, Michael Goggins, Sandra Elmore, Margaret L. Gulley, Jessica L. Larson, Lando Ringel, Brian C. Haynes, Corinne Camalier, Chris Karlovich, Biswajit Das, P. M. Williams, Aaron Garnett, Anders Stahlberg, Stefan Filges, Lynn Sorbara, Mathew R. Young, Sudhir Srivastava, Kenneth D. Cole
We conducted a multi-laboratory assessment to determine the suitability of a new commercially- available reference material with 40 cancer variants in a background of wild-type DNA at four different variant allele fractions (VAF): 2%, 0.5%, 0.125%, and 0 %

An open resource for accurately benchmarking small variant and reference calls

April 1, 2019
Author(s)
Justin M. Zook, Jennifer H. McDaniel, Marc L. Salit, Nathanael D. Olson, Justin M. Wagner
Benchmark small variant calls are required for developing, optimizing and assessing the performance of sequencing and bioinformatics methods. Here, as part of the Genome in a Bottle (GIAB) Consortium, we apply a reproducible, cloud-based pipeline to