EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing.

EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing.
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DOI:
10.1093/bioinformatics/btx500
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发表时间:
2017-12-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
通讯作者:
Ward AB
Ward AB
中科院分区:
其他
文献类型:
--
作者:
Berndsen Z;Bowman C;Jang H;Ward AB

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电子显微镜打孔(EMHP)是一套简化的工具,用于电子显微镜图像的快速评估、分类和空穴掩蔽。随着单粒子电子冷冻显微镜(Cryo-EM)数据处理的最新进展,允许使用更小的计算空间快速确定蛋白质结构,我们看到了对能够独立于现有高性能计算(HPC)基础设施运行的快速且简单的数据预处理工具的需求。EMHP在一个小程序包中提供了一个数据预处理平台,该平台只需要最少的Python依赖即可运行。生物信息学在线上提供了https://www.bitbucket.org/chazbot/emhp Apache2.0许可证补充数据。
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. https://www.bitbucket.org/chazbot/emhp Apache 2.0 License Supplementary data are available at Bioinformatics online.
狗拾取器和倾斜机:促进单个颗粒电子显微镜中颗粒选择的软件工具。
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