ROME specifications


Unique identifier OMICS_20492
Alternative name Refinement and Optimization based on Machine lEarning for cryo-EM
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
Computer skills Advanced
Version 1.1.0
Stability Stable
Maintained Yes


  • MAP




No version available



  • person_outline Youdong Mao

Additional information

Publications for Refinement and Optimization based on Machine lEarning for cryo-EM

ROME institution(s)
State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Institute of Condensed Matter Physics, School of Physics, Center for Quantitative Biology, Peking University, Beijing, China; Intel Parallel Computing Center for Structural Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Software and Services Group, Intel Corporation, Santa Clara, CA, USA; Department of Biophysics, Peking University Health Science Center, Beijing, China; Peking Tsinghua Joint Center for Life Sciences, Peking University, Beijing, China; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA
ROME funding source(s)
Supported by a grant of the Thousand Talents Plan of China, by a grant from National Natural Science Foundation of China (Grant No. 91530321), and by an Intel Corporation academic grant.

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