Unknown

Dataset Information

0

BioXTAS RAW 2: new developments for a free open-source program for small angle scattering data reduction and analysis.


ABSTRACT: BioXTAS RAW is a free, open-source program for reduction, analysis and modelling of biological small angle scattering data. Here, the new developments in RAW version 2 are described. These include: improved data reduction using pyFAI; updated automated Guinier fitting and Dmax finding algorithms; automated series (e.g. SEC-SAXS) buffer and sample region finding algorithms; linear and integral baseline correction for series; deconvolution of series data using REGALS; creation of electron density reconstructions via DENSS; a comparison window showing residuals, ratios, and statistical comparisons between profiles; and generation of PDF reports with summary plots and tables for all analysis. In addition, there is now a RAW API, which can be used without the GUI, providing full access to all of the functionality found in the GUI. In addition to these new capabilities, RAW has undergone significant technical updates, such as adding Python 3 compatibility, and has entirely new documentation available both online and in the program.

SUBMITTER: Hopkins JB 

PROVIDER: S-EPMC10557611 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

BioXTAS RAW 2: new developments for a free open-source program for small angle scattering data reduction and analysis.

Hopkins Jesse B JB  

bioRxiv : the preprint server for biology 20231221


BioXTAS RAW is a free, open-source program for reduction, analysis and modelling of biological small angle scattering data. Here, the new developments in RAW version 2 are described. These include: improved data reduction using pyFAI; updated automated Guinier fitting and <i>D</i><sub><i>max</i></sub> finding algorithms; automated series (e.g. SEC-SAXS) buffer and sample region finding algorithms; linear and integral baseline correction for series; deconvolution of series data using REGALS; crea  ...[more]

Similar Datasets

| S-EPMC10840314 | biostudies-literature
| S-EPMC5627684 | biostudies-literature
| S-EPMC4233345 | biostudies-literature
| S-EPMC8662971 | biostudies-literature
| S-EPMC5118095 | biostudies-literature
| S-EPMC5988002 | biostudies-literature
| S-EPMC8774185 | biostudies-literature
| S-EPMC8805168 | biostudies-literature
| S-EPMC11226168 | biostudies-literature