Bioinformatics 2018 01;34(1):126-128
Department of Medicine, Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA.
Motivation: Network biology is widely used to elucidate mechanisms of disease and biological processes. The ability to interact with biological networks is important for hypothesis generation and to give researchers an intuitive understanding of the data. We present visJS2jupyter, a tool designed to embed interactive networks in Jupyter notebooks to streamline network analysis and to promote reproducible research.
Availability And Implementation: The visJS2jupyter package is distributed under the MIT License. The source code, documentation and installation instructions are freely available on GitHub at https://github.com/ucsd-ccbb/visJS2jupyter. The package can be downloaded at https://pypi.python.org/pypi/visJS2jupyter.
Supplementary Information: Supplementary data are available at Bioinformatics online.