Details

Autor(en) / Beteiligte

• Hopkins, Jesse Bennett
• Gillilan, Richard E.
• Skou, Soren

Titel

BioXTAS RAW: improvements to a free open‐source program for small‐angle X‐ray scattering data reduction and analysis

Ist Teil von

• Journal of applied crystallography, 2017-10, Vol.50 (5), p.1545-1553

Ort / Verlag

5 Abbey Square, Chester, Cheshire CH1 2HU, England: International Union of Crystallography

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• BioXTAS RAW is a graphical‐user‐interface‐based free open‐source Python program for reduction and analysis of small‐angle X‐ray solution scattering (SAXS) data. The software is designed for biological SAXS data and enables creation and plotting of one‐dimensional scattering profiles from two‐dimensional detector images, standard data operations such as averaging and subtraction and analysis of radius of gyration and molecular weight, and advanced analysis such as calculation of inverse Fourier transforms and envelopes. It also allows easy processing of inline size‐exclusion chromatography coupled SAXS data and data deconvolution using the evolving factor analysis method. It provides an alternative to closed‐source programs such as Primus and ScÅtter for primary data analysis. Because it can calibrate, mask and integrate images it also provides an alternative to synchrotron beamline pipelines that scientists can install on their own computers and use both at home and at the beamline. BioXTAS RAW is a graphical‐user‐interface‐based free open‐source Python program for reduction and analysis of small‐angle X‐ray solution scattering (SAXS) data, including size‐exclusion chromatography coupled SAXS data. The software is designed for biological data and enables creation and plotting of one‐dimensional scattering profiles from two‐dimensional detector images, standard data operations such as averaging and subtraction and analysis of radius of gyration and molecular weight, and more advanced analyses such as calculation of inverse Fourier transforms.