Stochastic Imputation in Genomics: BEAGLE Software Overview

crop 545 lab 4 imputation n.w
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Explore stochastic imputation techniques in genomics, focusing on the BEAGLE software package for genotype calling, phasing, and imputation. Learn how to assign values randomly for missing data based on allele frequencies and genotype information.

  • Genomics
  • BEAGLE
  • Stochastic Imputation
  • Software
  • Genotype

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  1. CROP 545 - LAB 4 IMPUTATION Yuanhong Song Jan 31, 2018

  2. Emails Contain crop 545 in subject line; Homework Report in .PDF, code in .R; File name Homework2_Firstname_Lastname.pdf/.r . Textbook Full context is available through WSU Libraries online; Provides thoughts for knowledge and codes for practice. 2

  3. Review (R) Stochastic imputation TOPICS Evaluate accuracy BEAGLE Break: 3:15 3:30 3

  4. FILES 4

  5. STOCHASTIC IMPUTATION Target: assign values randomly 1. For each col, calculate: fn = the sum of all genotype values fc = the number of non-zero values fa = allele frequency 2. Assign 0 or 2 randomly to each missing value U ~ unif (0,1) For all missing values: Xmis = 2 if fa < U Xmis = 0 otherwise 5

  6. BEAGLE Beagle is a software package that performs genotype calling, genotype phasing, imputation of ungenotyped markers, and identity-by-descent segment detection. - Author, Brian Browning https://faculty.washington.edu/browning/beagle/beagle.html 6

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