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References: [1] Jin Q, Sorzano CO, de la Rosa-Trevin JM, Bilbao-Castro JR, Nunez-Ramirez R, Llorca O, Tama F, Jonic S: Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure 2014, 22:496-506. [2] Jonic S: Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images. Curr Opin Struct Biol 2017, 43:114-121. [3] Harastani M, Sorzano CO, Jonic S: Hybrid Electron Microscopy Normal Mode Analysis with Scipion. Protein Sci 2020, 29:223-36. [4] Sanchez Sorzano CO, Alvarez-Cabrera AL, Kazemi M, Carazo JM, Jonic S: StructMap: Elastic Distance Analysis of Electron Microscopy Maps for Studying Conformational Changes. Biophys J 2016, 110:1753-1765. [5] Harastani M, Eltsov M, Leforestier A, Jonic S: HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes. Front Mol Biosci 2021, 8:663121. [6] Jonic S, Sorzano CO, Thevenaz P, El-Bez C, De Carlo S, Unser M: Spline-based image-to-volume registration for three-dimensional electron microscopy. Ultramicroscopy 2005, 103:303-317. [7] Harastani M and Jonic S: Methods for analyzing continuous conformational variability of biomolecules in cryo electron subtomograms: HEMNMA-3D vs. traditional classification. BioRxiv 2021 (https://doi.org/10.1101/2021.10.14.464366) [8] Harastani M, Eltsov M, Leforestier A, Jonic S: TomoFlow: Analysis of continuous conformational variability of macromolecules in cryogenic subtomograms based on 3D dense optical flow. J Mol Biol 2021, 167381. [9] Harastani M and Jonic S: Synthetic cryo electron subtomograms containing biomolecular complexes with continuous conformational variability.[Data set] Zenodo. 2021 (https://doi.org/10.5281/zenodo.5718820).","customAttributes":{},"id":93,"isStillInObservation":false,"keywords":["Cryo Electron Microscopy","Cryo electron tomography","Continuous conformational variability analysis","Biomolecular complexes","HEMNMA","HEMNMA-3D","TomoFlow","StructMap","spa","tomo"],"license":"GNU General Public License v3.0 or later","name":"Code and test data of ContinuousFlex plugin for analyzing continuous conformational variability of biomolecular complexes in cryo-EM and cryo-ET data","referencedSinceTime":1780577453787,"operatingSystems":{"ios":false,"mac":false,"linux":true,"android":false,"windows":false},"runtimePlatforms":["desktop"],"latestVersion":{"semVer":"Version 3.1.2","publicationTime":1640964157000},"updateTime":1780577453787,"softwareExternalData":{"externalId":"3501129","sourceSlug":"hal","softwareId":93,"name":{"en":"Code and test data of ContinuousFlex plugin for analyzing continuous conformational variability of biomolecular complexes in cryo-EM and cryo-ET data","fr":"Code and test data of ContinuousFlex plugin for analyzing continuous conformational variability of biomolecular complexes in cryo-EM and cryo-ET data"},"description":{"en":"ContinuousFlex allows analyzing single particle cryo electron microscopy data and in vitro and in situ cryo electron subtomogram data for continuous conformational variability of biomolecular complexes. It has been developed as a plugin of Scipion 3 software (https://github.com/scipion-em/scipion-em-continuousflex). Currently, ContinuousFlex provides HEMNMA, StructMap, HEMNMA-3D and TomoFlow methods. -HEMNMA: Hybrid Electron Microscopy Normal Mode Analysis method to interpret heterogeneity of a set of single particle cryo-EM images in terms of continuous macromolecular conformational transitions [1-3] -StructMap: Structural Mapping method to interpret heterogeneity of a set of single particle cryo-EM maps in terms of continuous conformational transitions [4] -HEMNMA-3D: Extension of HEMNMA to continuous conformational variability analysis of macromolecules from in situ cryo-ET subtomograms [5,7] -TomoFlow: Method for analyzing continuous conformational variability of macromolecules in in vitro and in situ cryogenic subtomograms based on 3D dense optical flow [8-9] Notes: -The plugin additionally provides the test data and automated tests of the protocols in Scipion 3. The following two types of tests of HEMNMA and HEMNMA-3D can be produced by running, in the terminal, \"scipion3 tests continuousflex.tests.test_workflow_HEMNMA\" and “scipion3 tests continuousflex.tests.test_workflow_HEMNMA3D”, respectively: (1) tests of the entire protocol with the flexible references coming from an atomic structure and from an EM map; and (2) test of the alignment module (test run using 5 MPI threads). The automated tests of the TomoFlow method are also available and can be run using \"scipion3 tests continuousflex.tests.test_workflow_TomoFlow\". -HEMNMA additionally provides tools for synthesizing noisy and CTF-affected single particle cryo-EM images with flexible or rigid biomolecular conformations, for several types of conformational distributions, from a given atomic structure or an EM map. One part of the noise is applied on the ideal projections before and the other after the CTF, as described in [6]. -HEMNMA-3D additionally provides tools for synthesizing noisy, CTF and missing wedge affected cryo-ET tomograms and single particle subtomograms with flexible or rigid biomolecular conformations, for several types of conformational distributions, from a given atomic structure or an EM map. One part of the noise is applied on the ideal projections before and the other after the CTF, as described in [6]. -A reproduction of some utility codes with their corresponding licenses are contained in this plugin for subtomogram averaging, missing wedge correction, denoising and data reading. These codes are not used in the methods above, but they are made optional for data preprocessing and visualization. References: [1] Jin Q, Sorzano CO, de la Rosa-Trevin JM, Bilbao-Castro JR, Nunez-Ramirez R, Llorca O, Tama F, Jonic S: Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure 2014, 22:496-506. [2] Jonic S: Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images. Curr Opin Struct Biol 2017, 43:114-121. [3] Harastani M, Sorzano CO, Jonic S: Hybrid Electron Microscopy Normal Mode Analysis with Scipion. Protein Sci 2020, 29:223-36. [4] Sanchez Sorzano CO, Alvarez-Cabrera AL, Kazemi M, Carazo JM, Jonic S: StructMap: Elastic Distance Analysis of Electron Microscopy Maps for Studying Conformational Changes. Biophys J 2016, 110:1753-1765. [5] Harastani M, Eltsov M, Leforestier A, Jonic S: HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes. Front Mol Biosci 2021, 8:663121. [6] Jonic S, Sorzano CO, Thevenaz P, El-Bez C, De Carlo S, Unser M: Spline-based image-to-volume registration for three-dimensional electron microscopy. Ultramicroscopy 2005, 103:303-317. [7] Harastani M and Jonic S: Methods for analyzing continuous conformational variability of biomolecules in cryo electron subtomograms: HEMNMA-3D vs. traditional classification. BioRxiv 2021 (https://doi.org/10.1101/2021.10.14.464366) [8] Harastani M, Eltsov M, Leforestier A, Jonic S: TomoFlow: Analysis of continuous conformational variability of macromolecules in cryogenic subtomograms based on 3D dense optical flow. J Mol Biol 2021, 167381. [9] Harastani M and Jonic S: Synthetic cryo electron subtomograms containing biomolecular complexes with continuous conformational variability.[Data set] Zenodo. 2021 (https://doi.org/10.5281/zenodo.5718820).","fr":"ContinuousFlex allows analyzing single particle cryo electron microscopy data and in vitro and in situ cryo electron subtomogram data for continuous conformational variability of biomolecular complexes. It has been developed as a plugin of Scipion 3 software (https://github.com/scipion-em/scipion-em-continuousflex). Currently, ContinuousFlex provides HEMNMA, StructMap, HEMNMA-3D and TomoFlow methods. -HEMNMA: Hybrid Electron Microscopy Normal Mode Analysis method to interpret heterogeneity of a set of single particle cryo-EM images in terms of continuous macromolecular conformational transitions [1-3] -StructMap: Structural Mapping method to interpret heterogeneity of a set of single particle cryo-EM maps in terms of continuous conformational transitions [4] -HEMNMA-3D: Extension of HEMNMA to continuous conformational variability analysis of macromolecules from in situ cryo-ET subtomograms [5,7] -TomoFlow: Method for analyzing continuous conformational variability of macromolecules in in vitro and in situ cryogenic subtomograms based on 3D dense optical flow [8-9] Notes: -The plugin additionally provides the test data and automated tests of the protocols in Scipion 3. The following two types of tests of HEMNMA and HEMNMA-3D can be produced by running, in the terminal, \"scipion3 tests continuousflex.tests.test_workflow_HEMNMA\" and “scipion3 tests continuousflex.tests.test_workflow_HEMNMA3D”, respectively: (1) tests of the entire protocol with the flexible references coming from an atomic structure and from an EM map; and (2) test of the alignment module (test run using 5 MPI threads). The automated tests of the TomoFlow method are also available and can be run using \"scipion3 tests continuousflex.tests.test_workflow_TomoFlow\". -HEMNMA additionally provides tools for synthesizing noisy and CTF-affected single particle cryo-EM images with flexible or rigid biomolecular conformations, for several types of conformational distributions, from a given atomic structure or an EM map. One part of the noise is applied on the ideal projections before and the other after the CTF, as described in [6]. -HEMNMA-3D additionally provides tools for synthesizing noisy, CTF and missing wedge affected cryo-ET tomograms and single particle subtomograms with flexible or rigid biomolecular conformations, for several types of conformational distributions, from a given atomic structure or an EM map. One part of the noise is applied on the ideal projections before and the other after the CTF, as described in [6]. -A reproduction of some utility codes with their corresponding licenses are contained in this plugin for subtomogram averaging, missing wedge correction, denoising and data reading. These codes are not used in the methods above, but they are made optional for data preprocessing and visualization. References: [1] Jin Q, Sorzano CO, de la Rosa-Trevin JM, Bilbao-Castro JR, Nunez-Ramirez R, Llorca O, Tama F, Jonic S: Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure 2014, 22:496-506. [2] Jonic S: Computational methods for analyzing conformational variability of macromolecular complexes from cryo-electron microscopy images. Curr Opin Struct Biol 2017, 43:114-121. [3] Harastani M, Sorzano CO, Jonic S: Hybrid Electron Microscopy Normal Mode Analysis with Scipion. Protein Sci 2020, 29:223-36. [4] Sanchez Sorzano CO, Alvarez-Cabrera AL, Kazemi M, Carazo JM, Jonic S: StructMap: Elastic Distance Analysis of Electron Microscopy Maps for Studying Conformational Changes. Biophys J 2016, 110:1753-1765. [5] Harastani M, Eltsov M, Leforestier A, Jonic S: HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes. Front Mol Biosci 2021, 8:663121. [6] Jonic S, Sorzano CO, Thevenaz P, El-Bez C, De Carlo S, Unser M: Spline-based image-to-volume registration for three-dimensional electron microscopy. Ultramicroscopy 2005, 103:303-317. [7] Harastani M and Jonic S: Methods for analyzing continuous conformational variability of biomolecules in cryo electron subtomograms: HEMNMA-3D vs. traditional classification. BioRxiv 2021 (https://doi.org/10.1101/2021.10.14.464366) [8] Harastani M, Eltsov M, Leforestier A, Jonic S: TomoFlow: Analysis of continuous conformational variability of macromolecules in cryogenic subtomograms based on 3D dense optical flow. J Mol Biol 2021, 167381. 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