10.1371/journal.pgen.1004144.g003
Hong Li
Hong
Li
Gustavo Glusman
Gustavo
Glusman
Hao Hu
Hao
Hu
Shankaracharya
Shankaracharya
Juan Caballero
Juan
Caballero
Robert Hubley
Robert
Hubley
David Witherspoon
David
Witherspoon
Stephen L. Guthery
Stephen
L. Guthery
Denise E. Mauldin
Denise
E. Mauldin
Lynn B. Jorde
Lynn
B. Jorde
Leroy Hood
Leroy
Hood
Jared C. Roach
Jared
C. Roach
Chad D. Huff
Chad
D. Huff
Power of relationship estimation for simulated pedigrees using different methods and markers.
Public Library of Science
2014
genetics
Heredity
Linkage (genetics)
population genetics
haplotypes
genomics
Genome analysis tools
Genome complexity
Genome sequencing
estimation
simulated
pedigrees
methods
2014-01-30 02:50:54
Figure
https://plos.figshare.com/articles/figure/_Power_of_relationship_estimation_for_simulated_pedigrees_using_different_methods_and_markers_/918792
<p>(A–C) Comparison of three methods: GERMLINE-ERSA2.0, fastIBD-ERSA2.0, and ISCA-ERSA2.0. (A) “WGS” represents simulated whole-genome data, (B) “SNP microarray” represents Affymetrix 6.0 microarray data, and (C) “exon” represents whole-exome data. (D–F) Comparison of different marker set: “WGS”, “SNP microarray”, and “exon”. (D) GERMLINE-ERSA2.0, (E) fastIBD-ERSA2.0, and (F) ISCA-ERSA2.0.</p>