van IJzendoorn, David G.P.Glass, KimberlyQuackenbush, JohnKuijjer, Marieke2016-11-182016van IJzendoorn, David G.P., Kimberly Glass, John Quackenbush, and Marieke L. Kuijjer. 2016. “PyPanda: a Python package for gene regulatory network reconstruction.” Bioinformatics 32 (21): 3363-3365. doi:10.1093/bioinformatics/btw422. http://dx.doi.org/10.1093/bioinformatics/btw422.1367-4803http://nrs.harvard.edu/urn-3:HUL.InstRepos:29408415Summary: PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of ‘omics data. PANDA was originally coded in C ++. In this application note we describe PyPanda, the Python version of PANDA. PyPanda runs considerably faster than the C ++ version and includes additional features for network analysis. Availability and implementation: The open source PyPanda Python package is freely available at http://github.com/davidvi/pypanda. Contact: mkuijjer@jimmy.harvard.edu or d.g.p.van_ijzendoorn@lumc.nlen-USJournal Article2016-11-1810.1093/bioinformatics/btw422