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Update version numbers to 0.12.1.
Update version numbers to 0.12.1.
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docs/faq.rst

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@@ -78,7 +78,7 @@ This can also be easily run using the Docker image, which already contains all o
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.. code-block:: bash
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docker run -it --rm -v $PWD:$PWD -w $PWD aertslab/pyscenic:0.10.3 \
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docker run -it --rm -v $PWD:$PWD -w $PWD aertslab/pyscenic:0.12.1 \
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python add_visualization.py \
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--loom_input auc_mtx.loom \
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--loom_output scenic_visualize.loom \

docs/installation.rst

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@@ -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}
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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).
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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 \
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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 \
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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 \

docs/releasenotes.rst

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Release Notes
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=============
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0.12.1 | 2022-11-21
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^^^^^^^^^^^^^^^^^^^
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* Add support for running arboreto_with_multiprocessing.py with spawn instead of fork as multiprocessing method.Pool
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* Use ravel instead of flatten to avoid unnecessary memory copy in aucell
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* Update Docker image file and add separated Docker file for pySCENIC with scanpy.
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0.12.0 | 2022-08-16
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^^^^^^^^^^^^^^^^^^^
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pyscenic_with_scanpy.Dockerfile

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FROM aertslab/pyscenic:0.12.0 AS compile-image
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FROM aertslab/pyscenic:0.12.1 AS compile-image
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ENV DEBIAN_FRONTEND=noninteractive
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COPY requirements_docker_with_scanpy.txt /tmp/
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RUN pip install --no-cache-dir -r /tmp/requirements_docker_with_scanpy.txt
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FROM aertslab/pyscenic:0.12.0 AS build-image
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FROM aertslab/pyscenic:0.12.1 AS build-image
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RUN apt-get -y update && \
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apt-get -y --no-install-recommends install \

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