Publication

Article Metrics

Citations


Online attention

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

DOI: 10.3791/61578 DOI Help

Authors: Mark D. Tully (European Synchrotron Radiation Facility) , Nicolas Tarbouriech (University Grenoble Alpes, CEA, CNRS) , Robert P. Rambo (Diamond Light Source) , Stephanie Hutin (Université Grenoble Alpes/CNRS/CEA/INRA/BIG)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Journal Of Visualized Experiments

State: Published (Approved)
Published: January 2021

Open Access Open Access

Abstract: SEC-BioSAXS measurements of biological macromolecules are a standard approach for determining solution structure of macromolecules and their complexes. Here, we analyze SEC-BioSAXS data from two types of commonly encountered SEC traces—chromatograms with fully resolved and partially resolved peaks. We demonstrate the analysis and deconvolution using scatter and BioXTAS RAW.

Subject Areas: Information and Communication Technology, Biology and Bio-materials


Technical Areas:

Added On: 22/02/2021 13:43

Discipline Tags:

Computing & software technologies Technique Development - Life Sciences & Biotech Information & Communication Technologies Data processing Life Sciences & Biotech

Technical Tags: