Interactive network visualization in Jupyter notebooks: visJS2jupyter | Zendy

Sara Brin Rosenthal | Zendy; Julia Len | Zendy; Mikayla Webster | Zendy; Aaron Gary | Zendy; Amanda Birmingham | Zendy; Kathleen M. Fisch | Zendy

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Interactive network visualization in Jupyter notebooks: visJS2jupyter

Author(s) -

Sara Brin Rosenthal,

Julia Len,

Mikayla Webster,

Aaron Gary,

Amanda Birmingham,

Kathleen M. Fisch

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx581

Subject(s) - python (programming language) , computer science , visualization , mit license , javascript , biological network , source code , zoom , documentation , data visualization , programming language , software , data mining , bioinformatics , lens (geology) , biology , petroleum engineering , engineering

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.

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