@@ -72,7 +72,7 @@ A command line version of the tool is included. This tool is available after pro
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$ pyscenic -h
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usage: pyscenic [-h] {grn,add_cor,ctx,aucell} ...
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- Single-Cell rEgulatory Network Inference and Clustering (0.12.0 )
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+ Single-Cell rEgulatory Network Inference and Clustering (0.12.1 )
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positional arguments:
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{grn,add_cor,ctx,aucell}
@@ -114,12 +114,12 @@ Docker/Podman images are available at `Docker Hub pySCENIC`_ and `Docker Hub pyS
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.. code-block :: bash
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# pySCENIC CLI version (recommended).
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- docker pull aertslab/pyscenic:0.12.0
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- podman pull docker://aertslab/pyscenic:0.12.0
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+ docker pull aertslab/pyscenic:0.12.1
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+ podman pull docker://aertslab/pyscenic:0.12.1
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# pySCENIC CLI version + ipython kernel + scanpy.
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- docker pull aertslab/pyscenic_scanpy:0.12.0_1 .9.1
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- podman pull docker://aertslab/pyscenic_scanpy:0.12.0_1 .9.1
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+ docker pull aertslab/pyscenic_scanpy:0.12.1_1 .9.1
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+ podman pull docker://aertslab/pyscenic_scanpy:0.12.1_1 .9.1
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To run pySCENIC using Docker/Podman, use the following three steps.
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A mount point (or more than one) needs to be specified, which contains the input data and necessary resources).
@@ -128,15 +128,15 @@ A mount point (or more than one) needs to be specified, which contains the input
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docker run -it --rm \
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-v /data:/data \
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- aertslab/pyscenic:0.12.0 pyscenic grn \
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+ aertslab/pyscenic:0.12.1 pyscenic grn \
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--num_workers 6 \
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-o /data/expr_mat.adjacencies.tsv \
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/data/expr_mat.tsv \
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/data/allTFs_hg38.txt
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docker run -it --rm \
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-v /data:/data \
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- aertslab/pyscenic:0.12.0 pyscenic ctx \
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+ aertslab/pyscenic:0.12.1 pyscenic ctx \
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/data/expr_mat.adjacencies.tsv \
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/data/hg19-tss-centered-5kb-7species.mc9nr.genes_vs_motifs.rankings.feather \
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/data/hg19-tss-centered-10kb-7species.mc9nr.genes_vs_motifs.rankings.feather \
@@ -148,7 +148,7 @@ A mount point (or more than one) needs to be specified, which contains the input
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docker run -it --rm \
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-v /data:/data \
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- aertslab/pyscenic:0.12.0 pyscenic aucell \
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+ aertslab/pyscenic:0.12.1 pyscenic aucell \
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/data/expr_mat.tsv \
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/data/regulons.csv \
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-o /data/auc_mtx.csv \
@@ -162,19 +162,19 @@ Singularity/Apptainer images can be build from the Docker Hub image as source:
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.. code-block :: bash
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# pySCENIC CLI version.
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- singularity build aertslab-pyscenic-0.12.0 .sif docker://aertslab/pyscenic:0.12.0
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- apptainer build aertslab-pyscenic-0.12.0 .sif docker://aertslab/pyscenic:0.12.0
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+ singularity build aertslab-pyscenic-0.12.1 .sif docker://aertslab/pyscenic:0.12.1
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+ apptainer build aertslab-pyscenic-0.12.1 .sif docker://aertslab/pyscenic:0.12.1
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# pySCENIC CLI version + ipython kernel + scanpy.
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- singularity build aertslab-pyscenic-scanpy-0.12.0 -1.9.1.sif docker://aertslab/pyscenic_scanpy:0.12.0_1 .9.1
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- apptainer build aertslab-pyscenic-0.12.0 -1.9.1.sif docker://aertslab/pyscenic_scanpy:0.12.0_1 .9.1
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+ singularity build aertslab-pyscenic-scanpy-0.12.1 -1.9.1.sif docker://aertslab/pyscenic_scanpy:0.12.1_1 .9.1
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+ apptainer build aertslab-pyscenic-0.12.1 -1.9.1.sif docker://aertslab/pyscenic_scanpy:0.12.1_1 .9.1
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To run pySCENIC with Singularity/Apptainer, the usage is very similar to that of Docker/Podman.
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.. code-block :: bash
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- singularity run aertslab-pyscenic-0.12.0 .sif \
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+ singularity run aertslab-pyscenic-0.12.1 .sif \
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pyscenic grn \
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-B /data:/data
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--num_workers 6 \
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