Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Scientific Computing Department, Science and Technology Facilities Council, Research Complex at Harwell, Didcot OX11 0FA, United Kingdom.
Acta Crystallogr D Struct Biol. 2020 Apr 1;76(Pt 4):332-339. doi: 10.1107/S2059798320002995. Epub 2020 Mar 25.
Confidence maps provide complementary information for interpreting cryo-EM densities as they indicate statistical significance with respect to background noise. They can be thresholded by specifying the expected false-discovery rate (FDR), and the displayed volume shows the parts of the map that have the corresponding level of significance. Here, the basic statistical concepts of confidence maps are reviewed and practical guidance is provided for their interpretation and usage inside the CCP-EM suite. Limitations of the approach are discussed and extensions towards other error criteria such as the family-wise error rate are presented. The observed map features can be rendered at a common isosurface threshold, which is particularly beneficial for the interpretation of weak and noisy densities. In the current article, a practical guide is provided to the recommended usage of confidence maps.
置信图为解释低温电子显微镜密度提供了补充信息,因为它们表示相对于背景噪声的统计显著性。可以通过指定预期的假发现率 (FDR) 来对置信图进行阈值处理,并且显示的体积显示了具有相应显著性水平的地图部分。在这里,回顾了置信图的基本统计概念,并为 CCP-EM 套件中对其的解释和使用提供了实用指南。讨论了该方法的局限性,并提出了向其他错误标准(如总体错误率)的扩展。可以将观察到的地图特征呈现为常见的等表面阈值,这对于解释弱和嘈杂的密度特别有益。在本文中,提供了对推荐使用置信图的实用指南。