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Commit 12af673f authored by Min Gao's avatar Min Gao
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modified: README.md

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...@@ -3,12 +3,13 @@ ...@@ -3,12 +3,13 @@
Linux/Unix Linux/Unix
Python (>= 3.7) Python (>= 3.7)
## Install Scanpy through conda: ## Install Scanpy through conda:
The Miniconda3 package management system can be used to harmonize all of the software packages. We can install Scanpy using the conda environment. The Miniconda3 package management system can be used to harmonize all of the software packages. We can install Scanpy using the following commands to install Miniconda3:
Use the following commands to install Miniconda3: ```
$ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh $ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
$ bash Miniconda3-latest-Linux-x86_64.sh $ bash Miniconda3-latest-Linux-x86_64.sh
```
We can create an isolated environment for Scanpy and install through the following commands: We can create an isolated environment for Scanpy and install through the following commands:
```
$ conda config --add channels defaults $ conda config --add channels defaults
$ conda config --add channels bioconda $ conda config --add channels bioconda
$ conda config --add channels conda-forge $ conda config --add channels conda-forge
...@@ -18,10 +19,10 @@ $ conda install seaborn scikit-learn statsmodels numba pytables ...@@ -18,10 +19,10 @@ $ conda install seaborn scikit-learn statsmodels numba pytables
$ conda install -c conda-forge python-igraph leidenalg $ conda install -c conda-forge python-igraph leidenalg
$ conda install -c bioconda scanpy $ conda install -c bioconda scanpy
$ conda install -c anaconda ipykernel $ conda install -c anaconda ipykernel
```
## Clone the repository: ## Clone the repository:
```
$ git clone git@gitlab.rc.uab.edu:attis2021/single_cell_rnaseq_scanpy.git $ git clone git@gitlab.rc.uab.edu:attis2021/single_cell_rnaseq_scanpy.git
```
## Tutorial: ## Tutorial:
A more detailed tutorial of how to analyze PBMC data use Scanpy can be found in file scanpy_pbmc_tutorial.ipynb. A more detailed tutorial of how to analyze PBMC data use Scanpy can be found in file scanpy_pbmc_tutorial.ipynb.
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