Project.toml

name = "ProRF"
uuid = "e8cad192-777b-4b22-a2eb-37911c993c6b"
license = "MIT"
authors = ["Ryu Hyunwoo <wowo0118@korea.ac.kr>"]
version = "0.1.0"

[deps]
AverageShiftedHistograms = "77b51b56-6f8f-5c3a-9cb4-d71f9594ea6e"
AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
BioAlignments = "00701ae9-d1dc-5365-b64a-a3a3ebf5695e"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
FASTX = "c2308a5c-f048-11e8-3e8a-31650f418d12"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
Phylo = "aea672f4-3940-5932-aa44-993d1c3ff149"
PkgTemplates = "14b8a8f1-9102-5b29-a752-f990bacb7fe1"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ShapML = "8523bd24-6f66-414b-9e1e-b02db3916d64"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
XLSX = "fdbf4ff8-1666-58a4-91e7-1b58723a45e0"