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Project.toml
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Project.toml
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name = "SnpArrays"
uuid = "4e780e97-f5bf-4111-9dc4-b70aaf691b06"
keywords = ["GWAS", "Genome-wide association studies", "binary plink"]
authors = ["Hua Zhou <hwachou@gmail.com>", "Seyoon Ko <kos@ucla.edu>", "Douglas Bates <dmbates@gmail.com>", "OpenMendel Team"]
version = "0.3.22"
[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CodecBzip2 = "523fee87-0ab8-5b00-afb7-3ecf72e48cfd"
CodecXz = "ba30903b-d9e8-5048-a5ec-d1f5b0d4b47b"
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
CodecZstd = "6b39b394-51ab-5f42-8807-6242bab2b4c2"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
Glob = "c27321d9-0574-5035-807b-f59d2c89b15c"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
Missings = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28"
Mmap = "a63ad114-7e13-5084-954f-fe012c677804"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
TranscodingStreams = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
VariantCallFormat = "28eba6e3-a997-4ad9-87c6-d933b8bca6c1"
VectorizationBase = "3d5dd08c-fd9d-11e8-17fa-ed2836048c2f"
[compat]
Adapt = "3"
CSV = "0.8, 0.9, 0.10"
CodecBzip2 = "0.7, 0.8"
CodecXz = "0.7"
CodecZlib = "0.7"
CodecZstd = "0.7, 0.8"
DataFrames = "0.20, 0.21, 0.22, 1"
DelimitedFiles = "1"
Glob = "1"
LoopVectorization = "0.12.43"
Missings = "0.4, 1"
Requires = "1"
SpecialFunctions = "0.8, 0.9, 0.10, 1, 2"
StatsBase = "0.24 - 0.33, 0.34"
Tables = "1"
TranscodingStreams = "0.9"
VariantCallFormat = "0.5"
VectorizationBase = "0.20.19,0.21"
julia = "1.5"
[extras]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[targets]
test = ["Test", "CUDA"]