Cargando…
A Python package based on robust statistical analysis for serial crystallography data processing
The term robustness in statistics refers to methods that are generally insensitive to deviations from model assumptions. In other words, robust methods are able to preserve their accuracy even when the data do not perfectly fit the statistical models. Robust statistical analyses are particularly eff...
Autores principales: | Hadian-Jazi, Marjan, Sadri, Alireza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478633/ https://www.ncbi.nlm.nih.gov/pubmed/37584428 http://dx.doi.org/10.1107/S2059798323005855 |
Ejemplares similares
-
Best practices for time-resolved serial synchrotron crystallography
por: Schulz, Eike C., et al.
Publicado: (2022) -
The CCP4 suite: integrative software for macromolecular crystallography
por: Agirre, Jon, et al.
Publicado: (2023) -
CCP4 Cloud for structure determination and project management in macromolecular crystallography
por: Krissinel, Eugene, et al.
Publicado: (2022) -
Metalloprotein catalysis: structural and mechanistic insights into oxidoreductases from neutron protein crystallography
por: Schröder, Gabriela C., et al.
Publicado: (2021) -
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows
por: Cragnolini, Tristan, et al.
Publicado: (2021)