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@ARTICLE{Beckers:878063,
author = {Beckers, Maximilian and Sachse, Carsten},
title = {{P}ermutation testing of {F}ourier shell correlation for
resolution estimation of cryo-{EM} maps},
journal = {Journal of structural biology},
volume = {212},
number = {1},
issn = {1047-8477},
address = {San Diego, Calif.},
publisher = {Elsevier},
reportid = {FZJ-2020-02607},
pages = {107579 -},
year = {2020},
abstract = {Fourier shell correlation (FSC) has become a standard
quantity for resolution estimation in electron
cryo-microscopy. However, the resolution determination step
is still subjective and not fully automated as it involves a
series of map interventions before FSC computation and
includes the selection of a common threshold. Here, we apply
the statistical methods of permutation testing and false
discovery rate (FDR) control to the resolution-dependent
correlation measure. The approach allows fully automated and
mask-free resolution determination based on statistical
thresholding of FSC curves. We demonstrate the applicability
for global, local and directional resolution estimation and
show that the developed criterion termed FDR-FSC gives
realistic resolution estimates based on statistical
significance while eliminating the need of any map
manipulations. The algorithms are implemented in a
user-friendly GUI based software tool termed SPoC
(https://github.com/MaximilianBeckers/SPOC).},
cin = {ER-C-3},
ddc = {540},
cid = {I:(DE-Juel1)ER-C-3-20170113},
pnm = {551 - Functional Macromolecules and Complexes (POF3-551)},
pid = {G:(DE-HGF)POF3-551},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32693019},
UT = {WOS:000574936400006},
doi = {10.1016/j.jsb.2020.107579},
url = {https://juser.fz-juelich.de/record/878063},
}