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Chul-woo Pyo

Fred Hutchinson Cancer Research Center - Clinical Research Division

1100 Fairview Avenue North

M2-C206

Seattle, WA 98109-1024

United States

  • Fred Hutchinson Cancer Research Center - Clinical Research Division

SCHOLARLY PAPERS

3

DOWNLOADS

335

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

The KAG Motif of HLA-DRB1 (β71, β74, β86) Predicts Seroconversion and Development of Type 1 Diabetes

Number of pages: 65 Posted: 05 Feb 2021
Lue Ping Zhao, George K Papadopoulos, Terry Lybrand, Antonis K. Moustakas, George P. Bondinas, Annelie Carlsson, Helena Elding Larsson, Johnny Ludvigsson, Claude Marcus, Martina Persson, Ulf Samuelsson, Ruihan Wang, Chul-woo Pyo, Wyatt C. Nelson, Daniel E. Geraghty, Stephen S. Rich, Ake Lernmark and BDD Study Group
Fred Hutchinson Cancer Research Center - Division of Public Health Sciences, Technological Educational Institute (TEI) of Epirus - Laboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Vanderbilt University - Department of Chemistry, Ionian University - Department of Food Science and Technology, Technological Educational Institute (TEI) of Epirus - Laboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Lund University - Department of Clinical Sciences, Lund University - Department of Clinical Sciences, Linköping University - Crown Princess Victoria Children’s Hospital, Karolinska Institutet - Department of Clinical Science, Intervention and Technology, Karolinska Institutet - Clinical Epidemiological Unit, Linköping University - Crown Princess Victoria Children’s Hospital, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, University of Virginia - Center for Public Health Genomics, Lund University - Department of Clinical Sciences and Independent
Downloads 116 (613,149)

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HLA-DRB1, DR4 Subtype, Type 1 Diabetes, islet autoantibodies

2.

Towards Discovering SARS-CoV-2 Variants of High Consequence Based on Both Surveillance and Electronically Captured Health Data: First Year Experience in Washington State (January 2020-2021)

Downloads 114 (635,507)
Citation 1

Towards Discovering SARS-CoV-2 Variants of High Consequence Based on Both Surveillance and Electronically Captured Health Data: First Year Experience in Washington State (January 2020-2021)

Number of pages: 35 Posted: 30 Jul 2021
Lue Ping Zhao, Pavitra Roychoudhury, Keith R. Jerome, Peter B. Gilbert, Joshua Schiffer, Terry Lybrand, Thomas H. Payne, April Randhawa, Sara E. Thiebaud, Margaret G. Mills, Alex Greninger, Chul-woo Pyo, Ruihan Wang, Renyu Li, Alexander S. Thomas, Brandon M. Norris, Wyatt C. Nelson and Daniel E. Geraghty
Fred Hutchinson Cancer Research Center - Division of Public Health Sciences, University of Washington - Department of Laboratory Medicine and Microbiology, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Vanderbilt University - Department of Chemistry, University of Washington - Department of Medicine, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, University of Washington - Department of Laboratory Medicine and Microbiology, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division and Fred Hutchinson Cancer Research Center - Clinical Research Division
Downloads 64 (947,975)
Citation 1

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dynamics, emergence, haplotype, mutation, severe COVID, single nucleotide variant (SNV), transitory variant, variant, SARS-CoV-2, sequencing

Towards Discovering SARS-CoV-2 Variants of High Consequence Based on Both Surveillance and Electronically Captured Health Data: First Year Experience in Washington State (January 2020-2021)

Number of pages: 34 Posted: 30 Jul 2021
Lue Ping Zhao, Pavitra Roychoudhury, Keith R. Jerome, Peter B. Gilbert, Joshua Schiffer, Terry Lybrand, Thomas H. Payne, April Randhawa, Margaret G. Mills, Alex Greninger, Chul-woo Pyo, Ruihan Wang, Renyu Li, Alexander S. Thomas, Brandon M. Norris, Wyatt C. Nelson and Daniel E. Geraghty
Fred Hutchinson Cancer Research Center - Division of Public Health Sciences, University of Washington - Department of Laboratory Medicine and Microbiology, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Vanderbilt University - Department of Chemistry, University of Washington - Department of Medicine, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, University of Washington - Department of Laboratory Medicine and Microbiology, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division and Fred Hutchinson Cancer Research Center - Clinical Research Division
Downloads 50 (1,107,422)

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dynamics, emergence, haplotype, mutation, severe COVID, single nucleotide variant (SNV), transitory variant, variant, SARS-CoV-2, sequencing

3.

Rapidly Identifying New Coronavirus Mutations of Potential Concern in the Omicron Variant Using an Unsupervised Learning Strategy

Number of pages: 28 Posted: 11 Jan 2022
Lue Ping Zhao, Terry Lybrand, Peter B. Gilbert, Thomas H. Payne, Chul-woo Pyo, Daniel E. Geraghty and Keith R. Jerome
Fred Hutchinson Cancer Research Center, Vanderbilt University - Department of Chemistry, Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division, University of Washington - Department of Medicine, Fred Hutchinson Cancer Research Center - Clinical Research Division, Fred Hutchinson Cancer Research Center - Clinical Research Division and Fred Hutchinson Cancer Research Center - Vaccine and Infectious Disease Division
Downloads 105 (664,543)

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Omicron, haplotype, mutation, polymutant, SARS-CoV-2, single nucleotide variant, substitution, unsupervised machine learning