Work

PyBEL: a computational framework for Biological Expression Language

Year: 2017

Type: article

Abstract: Summary: Biological Expression Language (BEL) assembles knowledge networks from biological relations across multiple modes and scales. Here, we present PyBEL; a software package for parsing, validating, converting, storing, querying, and visualizing networks encoded in BEL. Availability and implementation: PyBEL is implemented in platform-independent, universal Python code. Its source is distributed under the Apache 2.0 License at https://github.com/pybel. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btx660

Authors: Charles Tapley Hoyt, Andrej Konotopez, Christian Ebeling

Institutions: University of Bonn, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn Aachen International Center for Information Technology

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $3,989

Funders: European Federation of Pharmaceutical Industries and Associations, European Commission