On the application, reporting, and sharing of in silico simulations for genetic studies-Reference-Cited by-同舟云学术

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On the application, reporting, and sharing of in silico simulations for genetic studies

Published:2020-10-16 Issue:2 Volume:45 Page:131-141
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Riggs Kaleigh¹,Chen Huann‐Sheng²,Rotunno Melissa³,Li Bing⁴,Simonds Naoko I.⁵,Mechanic Leah E.³,Peng Bo⁶^ORCID

Affiliation:

1. Department of Statistics Rice University Houston Texas USA

2. Division of Cancer Control and Population Sciences, Statistical Research and Applications Branch, Surveillance Research Program, National Cancer Institute (NCI) National Institutes of Health (NIH) Bethesda Maryland USA

3. Division of Cancer Control and Population Sciences, Genomic Epidemiology Branch Epidemiology and Genomics Research Program, NCI, NIH Bethesda Maryland USA

4. Department of Biostatistics Brown University Providence Rhode Island USA

5. Naoko Ishibe Simonds Consulting Englewood New Jersey USA

6. Department of Medicine Baylor College of Medicine Houston Texas USA

Funder

National Cancer Institute

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22362

Reference48 articles.

1. A global reference for human genetic variation

2. Omics‐squared: Human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19;Blangero J.;BMC Proceedings,2016

3. Hidden state models improve state-dependent diversification approaches, including biogeographical models

4. PRESM: personalized reference editor for somatic mutation discovery in cancer genomics

5. Genetic Simulation Tools for Post-Genome Wide Association Studies of Complex Diseases

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