11FROM condaforge/miniforge3:latest
22LABEL io.github.snakemake.containerized="true"
3- LABEL io.github.snakemake.conda_env_hash="bd9b69b913e7b4e17d7d5ca7169a5815c3145ea775af87163f18c0b92abc1bf8 "
3+ LABEL io.github.snakemake.conda_env_hash="7071b22b1161190c06be3ac061ab0019a1a8d3038532c9134e070a3875414ef5 "
44
55# Step 2: Retrieve conda environments
66
7+ # Conda environment:
8+ # source: workflow/envs/afwdist.yaml
9+ # prefix: /conda-envs/9c24a867826615972cc288081976e7fc
10+ # channels:
11+ # - bioconda
12+ # - conda-forge
13+ # dependencies:
14+ # - afwdist==1.0.0
15+ RUN mkdir -p /conda-envs/9c24a867826615972cc288081976e7fc
16+ COPY workflow/envs/afwdist.yaml /conda-envs/9c24a867826615972cc288081976e7fc/environment.yaml
17+
718# Conda environment:
819# source: workflow/envs/biopython.yaml
9- # prefix: /conda-envs/bd81c49fcb540d7706807c1683ba7200
20+ # prefix: /conda-envs/162796cecea22d99c8702138f0c48e2f
1021# channels:
1122# - conda-forge
1223# - bioconda
1324# dependencies:
1425# - python==3.10
1526# - biopython==1.81
1627# - pandas==2.0.3
17- # - pip==23.2.1
18- # - mafft==7.525
19- # - pip:
20- # - gb2seq==0.2.20
21- RUN mkdir -p /conda-envs/bd81c49fcb540d7706807c1683ba7200
22- COPY workflow/envs/biopython.yaml /conda-envs/bd81c49fcb540d7706807c1683ba7200/environment.yaml
28+ RUN mkdir -p /conda-envs/162796cecea22d99c8702138f0c48e2f
29+ COPY workflow/envs/biopython.yaml /conda-envs/162796cecea22d99c8702138f0c48e2f/environment.yaml
2330
2431# Conda environment:
2532# source: workflow/envs/fetch.yaml
@@ -35,14 +42,14 @@ COPY workflow/envs/fetch.yaml /conda-envs/9439457f932a4fbca3665c9ea1ac2f0a/envir
3542
3643# Conda environment:
3744# source: workflow/envs/freyja.yaml
38- # prefix: /conda-envs/ee7a2e1b4ec9a7a9999f34dddaea0605
45+ # prefix: /conda-envs/bb4c5f3a509433cc08861582fab4a705
3946# channels:
4047# - conda-forge
4148# - bioconda
4249# dependencies:
43- # - freyja==1.4.2
44- RUN mkdir -p /conda-envs/ee7a2e1b4ec9a7a9999f34dddaea0605
45- COPY workflow/envs/freyja.yaml /conda-envs/ee7a2e1b4ec9a7a9999f34dddaea0605 /environment.yaml
50+ # - freyja==2.0.1
51+ RUN mkdir -p /conda-envs/bb4c5f3a509433cc08861582fab4a705
52+ COPY workflow/envs/freyja.yaml /conda-envs/bb4c5f3a509433cc08861582fab4a705 /environment.yaml
4653
4754# Conda environment:
4855# source: workflow/envs/gisaidr.yaml
@@ -93,56 +100,52 @@ COPY workflow/envs/pangolin.yaml /conda-envs/fd645c541ee7a3d43fb9167441b77888/en
93100
94101# Conda environment:
95102# source: workflow/envs/quarto_render.yaml
96- # prefix: /conda-envs/f2a098519cf1f8c4cecb3c13f8c92883
103+ # prefix: /conda-envs/96f3c1cec4b3ce5d72f708992272e9c1
97104# channels:
98105# - conda-forge
99- # - bioconda
100106# dependencies:
101- # - r-base==4.3.1
102- # - r-gt==0.9 .0
103- # - quarto==1.3.450
104- # - r-jsonlite==1.8.5
107+ # - r-base==4.5.2
108+ # - r-gt==1.1 .0
109+ # - quarto==1.8.25
110+ # - deno==2.3.1
105111# - r-tidyverse==2.0.0
106- # - r-quarto==1.2
107- # - r-heatmaply==1.4.2
108- # - r-readr==2.1.4
109- RUN mkdir -p /conda-envs/f2a098519cf1f8c4cecb3c13f8c92883
110- COPY workflow/envs/quarto_render.yaml /conda-envs/f2a098519cf1f8c4cecb3c13f8c92883/environment.yaml
112+ # - r-heatmaply==1.6.0
113+ RUN mkdir -p /conda-envs/96f3c1cec4b3ce5d72f708992272e9c1
114+ COPY workflow/envs/quarto_render.yaml /conda-envs/96f3c1cec4b3ce5d72f708992272e9c1/environment.yaml
111115
112116# Conda environment:
113117# source: workflow/envs/renv.yaml
114- # prefix: /conda-envs/4b57bfc237ddc217c1f0b04d34dc06ef
118+ # prefix: /conda-envs/8ad6cdcf265d30289788da99d5bf9fff
115119# channels:
116120# - conda-forge
117121# - bioconda
118122# dependencies:
119- # - r-base=4.1.3
123+ # - r-base=4.3.2
120124# - r-tidyverse==2.0.0
121125# - r-ggrepel==0.9.3
122- # - r-stringi==1.7.12
123126# - r-ggpubr==0.6.0
124- # - bioconductor-ggtree==3.2 .0
125- # - r-ape==5.7
127+ # - bioconductor-ggtree==3.10 .0
128+ # - r-ape==5.8
126129# - r-adephylo==1.1_13
127130# - r-pegas==1.2
128131# - r-data.table==1.14.8
129132# - r-future.apply==1.11.0
130- # - r-scales==1.2.1
133+ # - r-scales==1.3.0
131134# - r-showtext==0.9_6
132- # - r-jsonlite==1.8.5
133135# - r-logger==0.2.2
134- RUN mkdir -p /conda-envs/4b57bfc237ddc217c1f0b04d34dc06ef
135- COPY workflow/envs/renv.yaml /conda-envs/4b57bfc237ddc217c1f0b04d34dc06ef /environment.yaml
136+ RUN mkdir -p /conda-envs/8ad6cdcf265d30289788da99d5bf9fff
137+ COPY workflow/envs/renv.yaml /conda-envs/8ad6cdcf265d30289788da99d5bf9fff /environment.yaml
136138
137139# Conda environment:
138140# source: workflow/envs/snpeff.yaml
139- # prefix: /conda-envs/1934df0e4df02a7ee33c52f53f9e3c30
141+ # prefix: /conda-envs/0adafb79cb1bec58ef4c77bf4cca4f95
140142# channels:
141143# - bioconda
142144# dependencies:
143145# - snpeff==5.1d
144- RUN mkdir -p /conda-envs/1934df0e4df02a7ee33c52f53f9e3c30
145- COPY workflow/envs/snpeff.yaml /conda-envs/1934df0e4df02a7ee33c52f53f9e3c30/environment.yaml
146+ # - snpsift==5.1d
147+ RUN mkdir -p /conda-envs/0adafb79cb1bec58ef4c77bf4cca4f95
148+ COPY workflow/envs/snpeff.yaml /conda-envs/0adafb79cb1bec58ef4c77bf4cca4f95/environment.yaml
146149
147150# Conda environment:
148151# source: workflow/envs/var_calling.yaml
@@ -158,16 +161,17 @@ COPY workflow/envs/var_calling.yaml /conda-envs/5150d0f0a91d7f7a789a06f453d63479
158161
159162# Step 3: Generate conda environments
160163
161- RUN conda env create --prefix /conda-envs/bd81c49fcb540d7706807c1683ba7200 --file /conda-envs/bd81c49fcb540d7706807c1683ba7200/environment.yaml && \
164+ RUN conda env create --prefix /conda-envs/9c24a867826615972cc288081976e7fc --file /conda-envs/9c24a867826615972cc288081976e7fc/environment.yaml && \
165+ conda env create --prefix /conda-envs/162796cecea22d99c8702138f0c48e2f --file /conda-envs/162796cecea22d99c8702138f0c48e2f/environment.yaml && \
162166 conda env create --prefix /conda-envs/9439457f932a4fbca3665c9ea1ac2f0a --file /conda-envs/9439457f932a4fbca3665c9ea1ac2f0a/environment.yaml && \
163- conda env create --prefix /conda-envs/ee7a2e1b4ec9a7a9999f34dddaea0605 --file /conda-envs/ee7a2e1b4ec9a7a9999f34dddaea0605 /environment.yaml && \
167+ conda env create --prefix /conda-envs/bb4c5f3a509433cc08861582fab4a705 --file /conda-envs/bb4c5f3a509433cc08861582fab4a705 /environment.yaml && \
164168 conda env create --prefix /conda-envs/3fad3c9cdfa40bee9404f6a2e8fda69f --file /conda-envs/3fad3c9cdfa40bee9404f6a2e8fda69f/environment.yaml && \
165169 conda env create --prefix /conda-envs/0a608afb24723cb6fa8aef748f5efbc8 --file /conda-envs/0a608afb24723cb6fa8aef748f5efbc8/environment.yaml && \
166170 conda env create --prefix /conda-envs/04a3347f94ddf7e21c34bc49e5246076 --file /conda-envs/04a3347f94ddf7e21c34bc49e5246076/environment.yaml && \
167171 conda env create --prefix /conda-envs/fd645c541ee7a3d43fb9167441b77888 --file /conda-envs/fd645c541ee7a3d43fb9167441b77888/environment.yaml && \
168- conda env create --prefix /conda-envs/f2a098519cf1f8c4cecb3c13f8c92883 --file /conda-envs/f2a098519cf1f8c4cecb3c13f8c92883 /environment.yaml && \
169- conda env create --prefix /conda-envs/4b57bfc237ddc217c1f0b04d34dc06ef --file /conda-envs/4b57bfc237ddc217c1f0b04d34dc06ef /environment.yaml && \
170- conda env create --prefix /conda-envs/1934df0e4df02a7ee33c52f53f9e3c30 --file /conda-envs/1934df0e4df02a7ee33c52f53f9e3c30 /environment.yaml && \
172+ conda env create --prefix /conda-envs/96f3c1cec4b3ce5d72f708992272e9c1 --file /conda-envs/96f3c1cec4b3ce5d72f708992272e9c1 /environment.yaml && \
173+ conda env create --prefix /conda-envs/8ad6cdcf265d30289788da99d5bf9fff --file /conda-envs/8ad6cdcf265d30289788da99d5bf9fff /environment.yaml && \
174+ conda env create --prefix /conda-envs/0adafb79cb1bec58ef4c77bf4cca4f95 --file /conda-envs/0adafb79cb1bec58ef4c77bf4cca4f95 /environment.yaml && \
171175 conda env create --prefix /conda-envs/5150d0f0a91d7f7a789a06f453d63479 --file /conda-envs/5150d0f0a91d7f7a789a06f453d63479/environment.yaml && \
172176 conda clean --all -y
173177
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