Metadata-Version: 2.1
Name: spada
Version: 1.24.4
Summary: Find splicing-led, functional changes of the proteome.
Home-page: https://github.com/hclimente/spada
Author: Héctor Climente-González
Author-email: hector.climente@curie.fr
License: MIT
Download-URL: https://github.com/hclimente/spada/archive/v1.9.1.tar.gz
Keywords: alternative,splicing,analysis,transcriptomics,networks
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
Requires-Dist: networkx (>=1.11)
Requires-Dist: numpy (>=1.13.1)

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## spada

spada (Splicing-led Protein Alterations Discovered Agilely) is a tool to study the functional impact of alternative splicing changes in case-control studies. The alterations are represented as isoform switches i.e. the situation when cases are best represented by one isoform, while controls are best represented by a different one. Then, spada is able to predict which protein features are changing between both isoforms, and their impact on the protein-protein interaction network.

To start using spada, simply install it with

``` bash
pip install spada
```

This package has two main functionalities:

- Calculating isoform switches from case-control transcript expression data:
  ```
  spada switches --expression-control expression_ctrl.tsv \
    --expression-case expression_case.tsv --minimum-expression 0.1
  ```
- Predicting the effects of splicing on the protein structure and the interactome of a set of switches:
  ```
  spada function --switches switches.tsv
  ```

For detailed information on how to use spada, please visit the [wiki](https://github.com/hclimente/spada/wiki).

### Documentation

#### Citation

If you use spada in a scientific publication, we would appreciate citations:

> Climente-González, H., Porta-Pardo, E., Godzik, A., and Eyras, E. (2017). [The Functional Impact of Alternative Splicing in Cancer.](http://www.cell.com/cell-reports/abstract/S2211-1247(17)31104-X) *Cell Reports 20*, 2215–2226.

#### Related projects

* [smartas](https://github.com/hclimente/smartas): we applied spada to transcriptomics data from the TCGA. This repository contains the code for the analyses and the main conclusions.


