BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

538 related articles for article (PubMed ID: 27742578)

  • 1. Hierarchical detection and analysis of macromolecular complexes in cryo-electron tomograms using Pyto software.
    Lučić V; Fernández-Busnadiego R; Laugks U; Baumeister W
    J Struct Biol; 2016 Dec; 196(3):503-514. PubMed ID: 27742578
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking.
    Pei L; Xu M; Frazier Z; Alber F
    BMC Bioinformatics; 2016 Oct; 17(1):405. PubMed ID: 27716029
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography.
    Morado DR; Hu B; Liu J
    J Vis Exp; 2016 Jan; (107):e53608. PubMed ID: 26863591
    [TBL] [Abstract][Full Text] [Related]  

  • 4. In Situ Studies of Mitochondrial Translation by Cryo-Electron Tomography.
    Englmeier R; Förster F
    Methods Mol Biol; 2021; 2192():243-268. PubMed ID: 33230778
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Subtomogram averaging from cryo-electron tomograms.
    Leigh KE; Navarro PP; Scaramuzza S; Chen W; Zhang Y; Castaño-Díez D; Kudryashev M
    Methods Cell Biol; 2019; 152():217-259. PubMed ID: 31326022
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cryo-Electron Tomography and Subtomogram Averaging.
    Wan W; Briggs JA
    Methods Enzymol; 2016; 579():329-67. PubMed ID: 27572733
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining high throughput and high quality for cryo-electron microscopy data collection.
    Weis F; Hagen WJH
    Acta Crystallogr D Struct Biol; 2020 Aug; 76(Pt 8):724-728. PubMed ID: 32744254
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PyTom: a python-based toolbox for localization of macromolecules in cryo-electron tomograms and subtomogram analysis.
    Hrabe T; Chen Y; Pfeffer S; Cuellar LK; Mangold AV; Förster F
    J Struct Biol; 2012 May; 178(2):177-88. PubMed ID: 22193517
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical spatial analysis for cryo-electron tomography.
    Martinez-Sanchez A; Baumeister W; Lučić V
    Comput Methods Programs Biomed; 2022 May; 218():106693. PubMed ID: 35240361
    [TBL] [Abstract][Full Text] [Related]  

  • 10. In Situ Cryo-Electron Tomography: A Post-Reductionist Approach to Structural Biology.
    Asano S; Engel BD; Baumeister W
    J Mol Biol; 2016 Jan; 428(2 Pt A):332-343. PubMed ID: 26456135
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Autofocused 3D classification of cryoelectron subtomograms.
    Chen Y; Pfeffer S; Fernández JJ; Sorzano CO; Förster F
    Structure; 2014 Oct; 22(10):1528-37. PubMed ID: 25242455
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cryo-Electron Tomography and Automatic Segmentation of Cultured Hippocampal Neurons.
    Hylton RK; Seader VH; Swulius MT
    Methods Mol Biol; 2021; 2215():25-48. PubMed ID: 33367998
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation.
    Zeng X; Leung MR; Zeev-Ben-Mordehai T; Xu M
    J Struct Biol; 2018 May; 202(2):150-160. PubMed ID: 29289599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data.
    Kim HH; Uddin MR; Xu M; Chang YW
    J Mol Biol; 2023 May; 435(9):168068. PubMed ID: 37003470
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Locating macromolecular assemblies in cells by 2D template matching with cisTEM.
    Lucas BA; Himes BA; Xue L; Grant T; Mahamid J; Grigorieff N
    Elife; 2021 Jun; 10():. PubMed ID: 34114559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of electron sub-tomograms with neural networks and its application to template-matching.
    Yu Z; Frangakis AS
    J Struct Biol; 2011 Jun; 174(3):494-504. PubMed ID: 21382496
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamo Catalogue: Geometrical tools and data management for particle picking in subtomogram averaging of cryo-electron tomograms.
    Castaño-Díez D; Kudryashev M; Stahlberg H
    J Struct Biol; 2017 Feb; 197(2):135-144. PubMed ID: 27288866
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms.
    Moebel E; Martinez-Sanchez A; Lamm L; Righetto RD; Wietrzynski W; Albert S; Larivière D; Fourmentin E; Pfeffer S; Ortiz J; Baumeister W; Peng T; Engel BD; Kervrann C
    Nat Methods; 2021 Nov; 18(11):1386-1394. PubMed ID: 34675434
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated segmentation of electron tomograms for a quantitative description of actin filament networks.
    Rigort A; Günther D; Hegerl R; Baum D; Weber B; Prohaska S; Medalia O; Baumeister W; Hege HC
    J Struct Biol; 2012 Jan; 177(1):135-44. PubMed ID: 21907807
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.
    Liu S; Ban X; Zeng X; Zhao F; Gao Y; Wu W; Zhang H; Chen F; Hall T; Gao X; Xu M
    BMC Bioinformatics; 2020 Sep; 21(1):399. PubMed ID: 32907544
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 27.