학술논문
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
Document Type
Working Paper
Author
Burns, Randal; Perlman, Eric; Baden, Alex; Roncal, William Gray; Falk, Ben; Chandrashekhar, Vikram; Collman, Forrest; Seshamani, Sharmishtaa; Patsolic, Jesse; Lillaney, Kunal; Kazhdan, Michael; Hider Jr., Robert; Pryor, Derek; Matelsky, Jordan; Gion, Timothy; Manavalan, Priya; Wester, Brock; Chevillet, Mark; Trautman, Eric T.; Khairy, Khaled; Bridgeford, Eric; Kleissas, Dean M.; Tward, Daniel J.; Crow, Ailey K.; Wright, Matthew A.; Miller, Michael I.; Smith, Stephen J; Vogelstein, R. Jacob; Deisseroth, Karl; Vogelstein, Joshua T.
Source
Subject
Language
Abstract
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visualization, and analysis of these data in the cloud, thusfar spanning 20+ publications and 100+ terabytes including nanoscale ultrastructure, microscale synaptogenetic diversity, and mesoscale whole brain connectivity, making NeuroData the largest and most diverse open repository of brain data.