Analysis workflow to assess de novo genetic variants from human whole-exome sequencing

Authors

Nicholas S Diab, Yale University
Spencer King, Washington University School of Medicine in St. Louis
Weilai Dong, Yale University
Garrett Allington, Yale University
Amar Sheth, Yale University
Samuel T Peters, Washington University School of Medicine in St. Louis
Kristopher T Kahle, Yale University
Sheng Chih Jin, Washington University School of Medicine in St. Louis

Journal

STAR Protocols

Publication Date

3-19-2021

Volume

2

Issue

1

First Page

100383

Document Type

Open Access Publication

DOI

10.1016/j.xpro.2021.100383

Rights and Permissions

Diab NS, King S, Dong W, Allington G, Sheth A, Peters ST, Kahle KT, Jin SC. Analysis workflow to assess de novo genetic variants from human whole-exome sequencing. STAR Protoc. 2021 Mar 10;2(1):100383. doi: 10.1016/j.xpro.2021.100383. Copyright 2021 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Diab, Nicholas S; King, Spencer; Dong, Weilai; Allington, Garrett; Sheth, Amar; Peters, Samuel T; Kahle, Kristopher T; and Jin, Sheng Chih, "Analysis workflow to assess de novo genetic variants from human whole-exome sequencing." STAR Protocols. 2, 1. 100383 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/11282