Cargando…
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
MOTIVATION: Cellular Electron CryoTomography (CECT) is an emerging 3D imaging technique that visualizes subcellular organization of single cells at sub-molecular resolution and in near-native state. CECT captures large numbers of macromolecular complexes of highly diverse structures and abundances....
Autores principales: | Zhao, Yixiu, Zeng, Xiangrui, Guo, Qiang, Xu, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022576/ https://www.ncbi.nlm.nih.gov/pubmed/29949977 http://dx.doi.org/10.1093/bioinformatics/bty267 |
Ejemplares similares
-
Convolutional neural networks for classification of alignments of non-coding RNA sequences
por: Aoki, Genta, et al.
Publicado: (2018) -
Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms
por: Xu, Min, et al.
Publicado: (2013) -
Inference of species phylogenies from bi-allelic markers using pseudo-likelihood
por: Zhu, Jiafan, et al.
Publicado: (2018) -
PrimAlign: PageRank-inspired Markovian alignment for large biological networks
por: Kalecky, Karel, et al.
Publicado: (2018) -
DeepFam: deep learning based alignment-free method for protein family modeling and prediction
por: Seo, Seokjun, et al.
Publicado: (2018)