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Search Publications by: Marc L. Salit (Assoc)

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Displaying 1 - 25 of 124

Variant calling and benchmarking in an era of complete human genome sequences

April 14, 2023
Author(s)
Nathanael David Olson, Justin Wagner, Nathan Dwarshuis, Karen Miga, Marc L. Salit, Justin Zook
Genetic variant calling from DNA sequencing has enabled understanding of germline variation in hundreds of thousands of humans. Sequencing technologies and variant-calling methods have advanced rapidly, routinely providing reliable variant calls in most of

Benchmarking challenging small variants with linked and long reads

May 11, 2022
Author(s)
Justin Wagner, Nathanael David Olson, Lindsay Harris, Marc L. Salit, Fritz Sedlazeck, Chunlin Xiao, Justin Zook
Genome in a Bottle benchmarks are widely used to help validate clinical sequencing pipelines and develop variant calling and sequencing methods. Here we use accurate linked and long reads to expand benchmarks in 7 samples to include difficult-to-map

One in seven pathogenic variants can be challenging to detect by NGS: an analysis of 450,000 patients with implications for clinical sensitivity and genetic test implementation

May 18, 2021
Author(s)
Stephen Lincoln, Tina Hambuch, Justin Zook, Sara Bristow, Kathryn Hatchell, Rebecca Truty, Michael Kennemer, Brian Shirts, Andrew Fellowes, Shimul Chowdhury, Eric Klee, Shazia Mahamdallie, Megan Cleveland, Peter Vallone, Yan Ding, Sheila Seal, Wasanthi DeSilva, Farol Tomson, Catherine Huang Huang, Russell Garlick, Nazneen Rahman, Marc L. Salit, Stephen Kingsmore, Matthew Ferber, Swaroop Aradhya, Robert Nussbaum
Next-generation sequencing (NGS) is widely used and cost-effective. However, depending on the specific methods used, NGS can have limitations with certain technically challenging variant types. These types are poorly represented in some validation studies

A crowdsourced set of curated structural variants for the human genome

June 19, 2020
Author(s)
Lesley M. Chapman, Noah Spies, Patrick Pai, Andrew Carroll, Marc L. Salit, Justin M. Zook
A high quality benchmark for small variants encompassing 88 to 90% of the reference genome has been developed for seven Genome in a Bottle (GIAB) reference samples. However a reliable benchmark for large indels and structural variants (SVs) is more

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

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

Best practices for benchmarking germline small-variant calls in human genomes

March 11, 2019
Author(s)
Justin M. Zook, Marc L. Salit
Standardized benchmarking approaches are required to assess the accuracy of variants called from sequence data. Although variant- calling tools and the metrics used to assess their performance continue to improve, important challenges remain. Here, as part

CrowdVariant: a crowdsourcing approach to curate copy number variants

January 6, 2019
Author(s)
Justin M. Zook, Marc L. Salit, Peyton Greenside, Ryan Poplin, Mark DePristo, Madeleine Cule
Copy number variants (CNVs) are an important type of genetic variation and play a causal role in many diseases. However, they are also notoriously difficult to identify accurately from next-generation sequencing (NGS) data. For larger CNVs, genotyping

Genome-wide reconstruction of complex structural variants using read clouds

July 17, 2017
Author(s)
Noah Spies, Ziming Weng, Alex Bishara, Jennifer H. McDaniel, David N. Catoe, Justin M. Zook, Marc L. Salit, Robert B. West, Serafim Batzoglou, Arend Sidow
Recently developed methods that utilize partitioning of long genomic DNA fragments, and barcoding of shorter fragments derived from them, have succeeded in retaining long-range information in short sequencing reads. These so-called read cloud approaches