Reference-free profiling of genomes


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Documentation for package ‘genomescope’ version 2.0

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estimate_Genome_peakp Function to fit 2p peak model, with p forms
eval_model Evaluate distinct model forms, in order to resolve ambiguity of which peak is the homozygous peak
nls_peak Uses nlsLM to fit 2p peak model
predict1_0 Produce model estimated (p=1) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict1_0_unique Produce model estimated (p=1, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict1_1 Produce model estimated (p=1) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict1_1_unique Produce model estimated (p=1, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict2_0 Produce model estimated (p=2) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict2_0_unique Produce model estimated (p=2, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict2_1 Produce model estimated (p=2) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict2_1_unique Produce model estimated (p=2, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict3_0 Produce model estimated (p=3) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict3_0_unique Produce model estimated (p=3, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict3_1 Produce model estimated (p=3) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict3_1_unique Produce model estimated (p=3, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_0 Produce model estimated (p=4, full model) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_0_unique Produce model estimated (p=4, full model, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_1 Produce model estimated (p=4, topology=1) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_1_unique Produce model estimated (p=4, topology=1, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_2 Produce model estimated (p=4, topology=2) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict4_2_unique Produce model estimated (p=4, topology=2, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_0 Produce model estimated (p=5, full model) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_0_unique Produce model estimated (p=5, full model, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_1 Produce model estimated (p=5, topology=1) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_1_unique Produce model estimated (p=5, topology=1, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_2 Produce model estimated (p=5, topology=2) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_2_unique Produce model estimated (p=5, topology=2, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_3 Produce model estimated (p=5, topology=3) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_3_unique Produce model estimated (p=5, topology=3, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_4 Produce model estimated (p=5, topology=4) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_4_unique Produce model estimated (p=5, topology=4, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_5 Produce model estimated (p=5, topology=5) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict5_5_unique Produce model estimated (p=5, topology=5, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_0 Produce model estimated (p=6, full model) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_0_unique Produce model estimated (p=6, full model, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_1 Produce model estimated (p=6, topology=1) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_10 Produce model estimated (p=6, topology=10) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_10_unique Produce model estimated (p=6, topology=10, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_11 Produce model estimated (p=6, topology=11) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_11_unique Produce model estimated (p=6, topology=11, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_12 Produce model estimated (p=6, topology=12) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_12_unique Produce model estimated (p=6, topology=12, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_13 Produce model estimated (p=6, topology=13) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_13_unique Produce model estimated (p=6, topology=13, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_14 Produce model estimated (p=6, topology=14) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_14_unique Produce model estimated (p=6, topology=14, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_15 Produce model estimated (p=6, topology=15) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_15_unique Produce model estimated (p=6, topology=15, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_16 Produce model estimated (p=6, topology=16) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_16_unique Produce model estimated (p=6, topology=16, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_1_unique Produce model estimated (p=6, topology=1, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_2 Produce model estimated (p=6, topology=2) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_2_unique Produce model estimated (p=6, topology=2, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_3 Produce model estimated (p=6, topology=3) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_3_unique Produce model estimated (p=6, topology=3, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_4 Produce model estimated (p=6, topology=4) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_4_unique Produce model estimated (p=6, topology=4, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_5 Produce model estimated (p=6, topology=5) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_5_unique Produce model estimated (p=6, topology=5, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_6 Produce model estimated (p=6, topology=6) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_6_unique Produce model estimated (p=6, topology=6, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_7 Produce model estimated (p=6, topology=7) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_7_unique Produce model estimated (p=6, topology=7, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_8 Produce model estimated (p=6, topology=8) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_8_unique Produce model estimated (p=6, topology=8, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_9 Produce model estimated (p=6, topology=9) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
predict6_9_unique Produce model estimated (p=6, topology=9, unique portion) y-coordinates of the kmer spectra given the kmer size, repetitiveness, average polyploid kmer coverage, bias, and x-coordinates of the kmer spectra.
report_results Report results and make plots
score_model Score nlsLM model by number and percent of residual errors after excluding sequencing errors