MEBOCOST is a Python-based computational tool for inferring metabolite, such as lipid, mediated cell-cell communication events using single-cell RNA-seq data. MEBOCOST includes a manually curated database of metabolite-sensor partners and defines sender and receiver cells based on rates of metabolite efflux and influx, along with expression levels of enzyme and sensor genes, respectively.
You agree NOT to make the MEBOCOST data (or any part thereof, modified or not) available to anyone outside your research group. "Make available" includes leaving the data where it may be accessible to outside individuals without your direct knowledge (e.g. on a computer to which people outside your group have login privileges), as well as directly providing it to someone.
You agree NOT to build another website and/or methods using the MEBOCOST data. Please contact us if you are going to.
You agree NOT to use the MEBOCOST data for proprietary analysis. You agree to properly cite the MEBOCOST papers and its specific, original contributions if directly related to your work.
You certify that you are authorized to accept this agreement on behalf of your institution.
All members of your group with access to the MEBOCOST data agree to the same conditions.
workflow for predicting metabolite mediated cell-cell communication (mCCC) taking scRNA-seq data as input.
We keep updating MEBOCOST!!!
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh
conda create -n mebocost python=3.12
conda activate mebocost
git clone https://github.com/kaifuchenlab/MEBOCOST.git
cd MEBOCOST
pip install -r requirements.txt
python -m pip install .
>>from mebocost import mebocost
Please cite us at bioRxiv if you find MEBOCOST is useful to your project.
Rongbin.Zheng\@childrens.harvard.edu{.email}
or
Kaifu.Chen\@childrens.harvard.edu{.email}
Copy Right \@ Kaifu Chen Lab \@ Boston Childrens Hospital / Harvard Medical School