All things open source for Johns Hopkins University
The Open Source Programs Office serves as a central hub, empowering the Hopkins community to create, contribute to, and benefit from the full potential of open source software.
Innovative open source projects from Johns Hopkins University
GitHub Training Opportunity: To help everyone gain the skills necessary to manage code developed in classes or labs, we are pleased to announce a new Git & GitHub training course […]
Gathering and analyzing massive data sets couldn’t happen without research software. Now, thanks to a $750,000 grant from the Alfred P. Sloan Foundation, the Johns Hopkins Open Source Programs Office, or OSPO, […]
The Open Source Programs Office at JHU is working to create a research software support network connecting research software engineers and researchers who develop software with essential support services across […]
NeuroCAPs is an open-source Python package that performs Co-Activation Patterns analysis on BIDS-compliant fMRI data.
The OAR (observed at random) score reveals cellular transcriptional shifts, allowing cell prioritization for downstream applications. For best results, apply the test to group of cells where you expect some common transcriptional programs - i.e. one cell type across various biological samples or conditions. OAR scores are cluster agnostic (no cluster labels are required) and are robust across: Technologies, Technical batches/library preparations, and Organisms.