Skip to main content

A cancer data integration package

Project description

CanDI - A global cancer data integrator

PyPI Downloads Documentation Status DOI Dataverse

Installation

CanDI is now available on PyPI and can be installed with pip. Then, a command from CanDI will automatically download stable datasets from Dataverse.

# Package Installation & Prepare Datasets
pip install PyCanDI && candi-install

Downloaded and formatted datasets would organize this way:

.
├── config.ini # modified after Installation 
├── depmap
│   ├── CCLE_expression.csv
│   ├── CCLE_fusions.csv
│   ├── CCLE_gene_cn.csv
│   ├── CCLE_mutations.csv
│   ├── CCLE_RNAseq_reads.csv
│   ├── CRISPR_gene_dependency.csv
│   ├── CRISPR_gene_effect.csv
│   └── sample_info.csv
├── genes
│   └── gene_info.csv
└── locations
    └── merged_locations.csv

Note:

: Currently, DepMap API is not available for public use. Therefore, we are providing the preprocessed datasets for the users based on DepMap 21Q4 release. DepMap API will be available in the future to download the latest datasets.

Usage

Import CanDI into python

from CanDI import candi

CanDI Objects

  • data : Container for all candi datasets. All access to datasets go through data object.
  • Gene : Provides cross dataset indexing from the gene perspective.
  • CellLine : Provides cross dataset indexing from the cell line perspective.
  • Cancer : Provides cross dataset indexing by a group of cell lines that are all the same tissue.
  • Organelle: Provides cross dataset indexing for a group of genes whose proteins localize to the same organelle.
  • CellLineCluster : Provides cross dataset indexing for a group of user defined cell lines.
  • GeneCluster : Provides cross dataset indexing for a group of user defined genes.

Demos

Name Description
Getting Started Link to notebook
BRCA Heatmap Link to notebook
KRAS and EGFR Scatter plot Link to notebook
CanDI and DESeq2 Link to notebook

Citation

If you use CanDI in your research, please cite the following paper:

Yogodzinski C, Arab A, Pritchard JR, Goodarzi H, Gilbert LA. 
A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy. 
Genome Med. 2021;13(1):167. Published 2021 Oct 18. doi:10.1186/s13073-021-00987-8

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

PyCanDI-0.2.5-py2.py3-none-any.whl (1.5 MB view details)

Uploaded Python 2Python 3

File details

Details for the file PyCanDI-0.2.5-py2.py3-none-any.whl.

File metadata

  • Download URL: PyCanDI-0.2.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for PyCanDI-0.2.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a940dc31cef10ea305791a760234d29902ca8d1329d03bc845d9ab4f27d2da9f
MD5 a671b503a2f2368955d56169c172fd3b
BLAKE2b-256 9871ec7c26fb4272b2846e425be8846805d94e1e1d8cf563128187fb44429a37

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page