gaoce / TimeVis

A visualization tool to visualize gene expression time series data.

TimeVis

Time series visualization and analysis.

A visualization tool to visualize gene expression time series data.

1. Documentation

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Documentation can be seen from the project Github Page

2. Installation

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Install from GitHub using pip

$ pip install git+https://github.com/gaoce/TimeVis

We recommend you install the package under virtualenv.

The application depends on numpy/scipy, if it is a problem for you, try Anaconda.

You can also use Docker

$ sudo docker pull gaoce/timevis

3. Start and Stop

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Start the application using timevis, here are its arguments:

$ timevis  -h
usage: timevis [-h] [-b] [-p PORT] [-s HOST] [-d DEBUG]

TimeVis

optional arguments:
  -h, --help            show this help message and exit
  -b, --browser         Enable browser
  -p PORT, --port PORT  Port
  -s HOST, --host HOST  Host
  -d DEBUG, --debug DEBUG
                        Debug mode

To use your own config file, set environment variable TIMEVIS_CONFIG=/path/to/config.py.

If you are using Docker

$ sudo docker run -p 8000:8000 gaoce/timevis timevis

The application can be accessed through http://localhost:8000 inside your browser.

To stop, use the keyboard shortcut Ctrl+c.

4. User Interface

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Interface to define experiment information, including factors (independent variables) and channels (dependent variables).

Interface to query and visualize time series data based on conditions of interest.