Web application for exploration of large scale scRNA-seq datasets, upgraded to enable end-to-end interactive analysis.

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Project description

Exploratory CellxGene (ExCellxGene)

Video vignettes to come!

Installation

  1. Install miniconda if conda not available already:
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda
  1. Create and activate a new environment (we need to install the TBB threading layer as well):
conda create -n cxg python=3.8
conda activate cxg
conda install tbb=2020.3 tbb-devel=2020.3
  1. Install excellxgene with pip:
pip install excellxgene

If your operating system is CentOS, then you may run into issues installing dependencies that require up-to-date gcc or g++ compilers. Please install with the following and try reinstalling excellxgene with pip:

conda install -c conda-forge gcc cxx-compiler
  1. Download the git repository to get the example datasets (assumes git is available, if not install it with conda install -c anaconda git)
git clone https://github.com/czbiohub/excellxgene
cd excellxgene

Datasets are stored in example-dataset

  1. Launch excellxgene with:
excellxgene launch example-dataset

This should launch an excellxgene session with all the datasets in example-datasets/ loaded in.

If you're running excellxgene remotely, please launch with:

excellxgene launch example-datasets --host 0.0.0.0

Ping me on the Biohub slack (@Alec) if you have any questions!

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Avatar for keithcc from gravatar.com keithcc Avatar for rafael.gomez.s from gravatar.com rafael.gomez.s Avatar for tarashan from gravatar.com tarashan Avatar for yangjoon from gravatar.com yangjoon

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Release history Release notifications | RSS feed

2.9.6

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