The **Distributome Project** is an open-source, open content-development project for exploring, discovering, learning, and computational utilization of diverse probability distributions. Probability distributions are a special class of functions defined in terms of integrals of positive density functions. Distribution functions are very useful in representation, modeling and interpretation of various observable processes and natural phenomena. Probability densities are a non-negative functions that integrate to one over the real numbers. A probability density function can be seen as a smooth version of a frequency histogram.

The interactive Distributome graphical user Navigator (requires Java) and the Distributome-Editor provide the following core functions:

- visually traverse the space of all well-defined (named) distributions;
- explore the relations between different distributions;
- distribution search by keyword, property and type;
- obtain qualitative (e.g., analytic form of density function) and quantitative (e.g., critical and probability values) information about each distribution;
- discover references and additional distribution resources.
- Revise, Add and Edit the properties, interrelations and meta-data for various distributions.

Ivo Dinov

Kyle Siegrist

Dennis Pearl

UCLA

UAH

OSU

- Biology
- Domain independent

- Distributed online resource for probability distributions

- Bioinformatics
- Data mining/Machine learning
- Document/information retrieval
- Other

- Java
- Other

- Linux
- OS X
- Unix
- Windows

- Application Programming Interface
- Graphical User Interface
- Library of modular components

- Informatics researcher
- Software developer

- API
- Screenshots
- Tutorial
- Web page/HTML documentation

LGPL