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>