共 6 条
EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing
被引:18
作者:

Berndsen, Zachary
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h-index: 0
机构:
Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA

Bowman, Charles
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Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA

Jang, Haerin
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Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA

Ward, Andrew B.
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Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA
机构:
[1] Scripps Res Inst, Dept Integrat Struct & Computat Biol, La Jolla, CA 92037 USA
关键词:
D O I:
10.1093/bioinformatics/btx500
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
A Summary: The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein structures using a smaller computational footprint, we saw the need for a fast and simple tool for data pre-processing that could run independent of existing high-performance computing (HPC) infrastructures. EMHP provides a data preprocessing platform in a small package that requires minimal python dependencies to function.
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页码:3824 / 3826
页数:3
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