tmtk 0.5.7

A toolkit for ETL curation for the tranSMART data warehouse.

Master:

Develop:

Anaconda Cloud latest package:

A toolkit for ETL curation for the tranSMART data warehouse. The TranSMART curation toolkit (tmtk) can be used to edit and validate studies prior to loading them with transmart-batch.

For general documentation visit readthedocs.

Installation

Installing via Anaconda Cloud or Pypi package managers

Anaconda:

$   conda install -c conda-forge tmtk

Pypi:

$   pip3 install tmtk

Installing manually

Initialize a virtualenv

$ pip install virtualenv
$ virtualenv -p /path/to/python3.x/installation env
$ source env/bin/activate

For mac users it will most likely be

$ pip install virtualenv
$ virtualenv -p python3 env
$ source env/bin/activate

or do this using virtualenvwrapper.

Installation from source

To install tmtk and all dependencies into your Python environment, and enable the Arborist Jupyter notebook extension, run:

$   pip3 install -r requirements.txt
$   python3 setup.py install

or if you want to run the tool from code in development mode:

$   pip3 install -r requirements.txt
$   python3 setup.py develop
$   jupyter-nbextension install --py tmtk.arborist
$   jupyter-serverextension enable tmtk.arborist

Requirements

These dependencies will have to be installed:

• pandas>=0.22.0

• ipython>=5.3.0

• jupyter>=1.0.0

• jupyter-client>=5.0.0

• jupyter-core>=4.3.0

• jupyter-console>=5.1.0

• notebook>=4.4.1

• requests>=2.13.0

• tqdm>=4.11.0

• xlrd>=1.0.0

• click>=6.0

• arrow>=0.10.0

Optional dependencies:

• mygene>=3.0.0

Licence

LGPL-3.0