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The BEL Language

The Biological Expression Language (BEL) is a language for representing scientific findings in the life sciences in a computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the curation process used.

The BEL Framework

The BEL Framework is an emerging open-platform technology specifically designed to overcome many of the challenges associated with capturing, integrating, and storing knowledge within an organization, and sharing the knowledge across the organization and between business partners.

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OpenBEL Community

This is the place to participate in the OpenBEL Community, and get more information about BEL and BEL Framework best practices, news, and developments.

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William Hayes's picture

AETIONOMY Project -- Reform the taxonomy of human diseases

on Thu, 09/18/2014 - 11:57

Currently, the established disease classification systems such as ICD (international classification of disease) make use of phenotypes measured clinically or using standard laboratory and imaging techniques to establish major types and subtypes of diseases.

In contrast to the established disease classification systems, a “mechanism-based taxonomy” is based upon the knowledge about the biological pathways involved in the aetiology of a disease to guide the classification of disease classes and subclasses.

ncatlett's picture

OpenBEL User Group Meeting - April 29, 2014 Boston

on Thu, 03/20/2014 - 18:19

We will be holding an OpenBEL User Group meeting Tuesday, April 29th, in Boston, MA, in conjunction with Bio-IT World 2014. Please see the OpenBEL wiki OpenBEL User Group Meeting 2014 Boston for additional information and a preliminary agenda.

William Hayes's picture

OpenBEL powers SBVImprover Challenge 3

on Thu, 10/10/2013 - 20:44


OpenBEL powers SBVImprover Challenge 3.  The goal of the Challenge is to perform peer review of a massive number of networks for lung biology.  The key is using OpenBEL to represent the biology in a consistent open format that can be turned into a computationally tractable model.  

Today, biological networks play a fundamental role in systems-based approaches to biology, pharmacology, and toxicology.

mdolan's picture

Life Sciences Information Framework OpenBEL to Become a Linux Foundation Collaborative Project

on Mon, 08/26/2013 - 12:50

New project will accelerate collaboration on OpenBEL, the open platform for capturing, integrating, storing and sharing biological knowledge in and across organizations

SAN FRANCISCO, August 26, 2013 – The Linux Foundation, the nonprofit organization dedicated to open source development and technologies, today announced OpenBEL is now a Linux Foundation Collaborative Project.

OpenBEL is an open source software project that enables users to capture, store, share and leverage life sciences content through a knowledge engineering platform.

abargnesi's picture

First BEL Framework open source release, 2.0.0!

on Fri, 06/29/2012 - 18:02

Version 2.0.0 of the BEL Framework has been released.  This marks the first open source release.

Download the 2.0.0 BEL Framework distribution

View the 2.0.0 changelog

What is OpenBEL and how can you participate

In biotechnology and life sciences, the use of OpenBEL and its standard way of expressing information can accelerate the pace of technology innovation and scientific discovery in areas such as network visualization of neural brain function; understanding of complex inter-related disease biology; comparison of human diseases with various animal models; deep investigation of drug efficacy and toxicity; as well as development of innovative therapeutics and diagnostics for personalized healthcare.

The OpenBEL project advances these disciplines with the use of a common Biological Expression Language (BEL) that represents scientific findings in a computable form by capturing causal and correlative relationships in context. It also includes the BEL framework, an open platform designed to capture, integrate and store knowledge within an organization and with its partners. Central to the design of the framework is the ability to integrate knowledge across different representational vocabularies and ontologies. This allows organizations to combine knowledge from disparate sources into centralized knowledge repositories.

The combined knowledge can be made available to a variety of decision support and analytical applications through a standardized set of computable networks and APIs. To learn more about the OpenBEL Consortium and how your company can participate, please contact us.