Time series visualization and analysis.
A visualization tool to visualize gene expression time series data.
- Documentation
Documentation can be seen from the project Github Page
- Installation
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
- Start and Stop
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
.
- User Interface
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.