https://github.com/czbiohub-sf/scrnaseq-for-the-99-percent
Code accompanying the paper titled, "Single-cell transcriptomics for the 99.9% of species without reference genomes" by Botvinnik et al, 2021
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: biorxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.4%) to scientific vocabulary
Repository
Code accompanying the paper titled, "Single-cell transcriptomics for the 99.9% of species without reference genomes" by Botvinnik et al, 2021
Basic Info
- Host: GitHub
- Owner: czbiohub-sf
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 64.6 MB
Statistics
- Stars: 5
- Watchers: 4
- Forks: 2
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
scrnaseq-for-the-99-percent
Code accompanying Botvinnik et al, 2021. Single-cell transcriptomics for the 99.9% of species without reference genomes.
NOTE: We are figuring out how to share the human k-mer signature data in a way that respects the prviacy of the patients. Thank you for your patience as we establish what aspects of the data we can release while remaining compliant with HIPPA.
Owner
- Name: Chan Zuckerberg Biohub San Francisco
- Login: czbiohub-sf
- Kind: organization
- Location: San Francisco
- Website: https://www.czbiohub.org/sf/
- Repositories: 1
- Profile: https://github.com/czbiohub-sf
GitHub Events
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Last Year
Dependencies
- bioawk
- black
- boto3
- conda
- csvkit
- csvtk
- gffread
- git-filter-repo
- igv
- isort
- jupyter
- jupyterlab
- jupyterlab_code_formatter
- mamba
- nb_conda
- nbresuse
- nextflow
- nodejs
- notebook
- pandas
- pip
- pyarrow
- python 3.7.*
- ripgrep
- seaborn
- seqtk
- sourmash >=4.0