Why it matters

Acknowledgements are how we demonstrate impact to funders and the university. Every paper that cites SeaWulf or RCI strengthens the case for continued investment in the resources your research depends on โ€” and helps us reach the publications we count among our impact metrics.

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Used SeaWulf

SeaWulf acknowledgement
This research used computational resources of the SeaWulf high-performance computing cluster at Stony Brook University, made possible by National Science Foundation grants (awards 1531492 and 2215987) and matching funds from the Empire State Development's Division of Science, Technology and Innovation (NYSTAR) program (contract C210148).

Used ClinWulf

ClinWulf acknowledgement
This work used the ClinWulf HIPAA-compliant high-performance computing environment operated by Research Computing & Informatics at Stony Brook Medicine.

Used REDCap

REDCap acknowledgement
Study data were collected and managed using REDCap electronic data capture tools hosted at Stony Brook Medicine. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies.

General RCI support

General RCI acknowledgement
The authors gratefully acknowledge Research Computing & Informatics (RCI), a unit of the Division of Information Technology at Stony Brook University, for computing, data, and informatics resources and support that contributed to the results reported here.
Published something that used RCI? Let us know at webmaster@stonybrookmedicine.edu so we can include it in our impact reporting.