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Project.toml
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name = "wgregseq"
uuid = "f8cc1c76-3494-412e-9b4b-01264b94fd02"
authors = ["Tom Roeschinger <[email protected]>"]
[deps]
AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
BioSequences = "7e6ae17a-c86d-528c-b3b9-7f778a29fe59"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
Clustering = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"
ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
CurveFit = "5a033b19-8c74-5913-a970-47c3779ef25c"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FASTX = "c2308a5c-f048-11e8-3e8a-31650f418d12"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
ImageFiltering = "6a3955dd-da59-5b1f-98d4-e7296123deb5"
KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
TernaryPlots = "1f5e811d-5acb-4dfc-9a45-b3a27d369aae"