Detailed Information on Publication Record
2021
Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods
S. SORZANO, Carlos Oscar, Amaya JIMÉNEZ-MORENO, David MALUENDA, Erney RAMÍREZ-APORTELA, Marta MARTÍNEZ et. al.Basic information
Original name
Image Processing in Cryo-Electron Microscopy of Single Particles: The Power of Combining Methods
Authors
S. SORZANO, Carlos Oscar, Amaya JIMÉNEZ-MORENO, David MALUENDA, Erney RAMÍREZ-APORTELA, Marta MARTÍNEZ, Ana CUERVO, Roberto MELERO, Jose Javier CONESA, Ruben SÁNCHEZ-GARCÍA, David STŘELÁK (203 Czech Republic, belonging to the institution), Jiří FILIPOVIČ (203 Czech Republic, guarantor, belonging to the institution), Estrella FERNÁNDEZ-GIMÉNEZ, Federico DE ISIDRO-GÓMEZ, David HERREROS, Pablo CONESA, Laura DEL CAÑO, Yunior FONSECA, Jorge JIMÉNEZ DE LA MORENA, Jose Ramon MACÍAS, Patricia LOSANA, Roberto MARABINI and Jose-Maria CARAZO
Edition
Clifton, N.J. Structural Proteomics, p. 257-289, 33 pp. Methods in Molecular Biology, 2021
Publisher
Springer US
Other information
Language
English
Type of outcome
Kapitola resp. kapitoly v odborné knize
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14330/21:00122290
Organization unit
Faculty of Informatics
ISBN
978-1-0716-1405-1
UT WoS
000691017300014
Keywords in English
Cryo-electron microscopy; Image processing; Scipion; Single particle
Tags
Tags
International impact, Reviewed
Změněno: 23/5/2022 14:58, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Cryo-electron microscopy has established as a mature structural biology technique to elucidate the three-dimensional structure of biological macromolecules. The Coulomb potential of the sample is imaged by an electron beam, and fast semi-conductor detectors produce movies of the sample under study. These movies have to be further processed by a whole pipeline of image-processing algorithms that produce the final structure of the macromolecule. In this chapter, we illustrate this whole processing pipeline putting in value the strength of "meta algorithms," which are the combination of several algorithms, each one with different mathematical rationale, in order to distinguish correctly from incorrectly estimated parameters. We show how this strategy leads to superior performance of the whole pipeline as well as more confident assessments about the reconstructed structures. The "meta algorithms" strategy is common to many fields and, in particular, it has provided excellent results in bioinformatics. We illustrate this combination using the workflow engine, Scipion.
Links
EF16_013/0001802, research and development project |
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MUNI/A/1411/2019, interní kód MU |
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