Journal Article FZJ-2020-02607

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Permutation testing of Fourier shell correlation for resolution estimation of cryo-EM maps

 ;

2020
Elsevier San Diego, Calif.

Journal of structural biology 212(1), 107579 - () [10.1016/j.jsb.2020.107579]

This record in other databases:      

Please use a persistent id in citations:   doi:

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).

Classification:

Contributing Institute(s):
  1. Strukturbiologie (ER-C-3)
Research Program(s):
  1. 551 - Functional Macromolecules and Complexes (POF3-551) (POF3-551)

Appears in the scientific report 2020
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > ER-C > ER-C-3
Workflowsammlungen > Öffentliche Einträge
Workflowsammlungen > Publikationsgebühren
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2020-07-21, letzte Änderung am 2022-09-30