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CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data

SUMMARY: Size-exclusion chromatography (SEC) coupled to small-angle X-ray scattering (SAXS), also known as inline SEC-SAXS, is being increasingly used for the structural analysis of biological macromolecules, complexes and mixtures in solution. A single SEC-SAXS run generates thousands of individual...

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Detalles Bibliográficos
Autores principales: Panjkovich, Alejandro, Svergun, Dmitri I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972624/
https://www.ncbi.nlm.nih.gov/pubmed/29300836
http://dx.doi.org/10.1093/bioinformatics/btx846
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author Panjkovich, Alejandro
Svergun, Dmitri I
author_facet Panjkovich, Alejandro
Svergun, Dmitri I
author_sort Panjkovich, Alejandro
collection PubMed
description SUMMARY: Size-exclusion chromatography (SEC) coupled to small-angle X-ray scattering (SAXS), also known as inline SEC-SAXS, is being increasingly used for the structural analysis of biological macromolecules, complexes and mixtures in solution. A single SEC-SAXS run generates thousands of individual SAXS profiles from the eluting solute and their analysis requires a correct identification of buffer and sample regions, a rather laborous task. We present CHROMIXS (as in CHROMatography Inline X-ray Scattering), a program for rapid reduction and analysis, both automatically and interactively, of SEC-SAXS data. AVAILABILITY AND IMPLEMENTATION: CHROMIXS is freely available to academic users as part of the ATSAS software suite (www.embl-hamburg.de/biosaxs/download.html).
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spelling pubmed-59726242018-06-04 CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data Panjkovich, Alejandro Svergun, Dmitri I Bioinformatics Applications Notes SUMMARY: Size-exclusion chromatography (SEC) coupled to small-angle X-ray scattering (SAXS), also known as inline SEC-SAXS, is being increasingly used for the structural analysis of biological macromolecules, complexes and mixtures in solution. A single SEC-SAXS run generates thousands of individual SAXS profiles from the eluting solute and their analysis requires a correct identification of buffer and sample regions, a rather laborous task. We present CHROMIXS (as in CHROMatography Inline X-ray Scattering), a program for rapid reduction and analysis, both automatically and interactively, of SEC-SAXS data. AVAILABILITY AND IMPLEMENTATION: CHROMIXS is freely available to academic users as part of the ATSAS software suite (www.embl-hamburg.de/biosaxs/download.html). Oxford University Press 2018-06-01 2017-12-28 /pmc/articles/PMC5972624/ /pubmed/29300836 http://dx.doi.org/10.1093/bioinformatics/btx846 Text en © The Author(s) 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Panjkovich, Alejandro
Svergun, Dmitri I
CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title_full CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title_fullStr CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title_full_unstemmed CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title_short CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data
title_sort chromixs: automatic and interactive analysis of chromatography-coupled small-angle x-ray scattering data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972624/
https://www.ncbi.nlm.nih.gov/pubmed/29300836
http://dx.doi.org/10.1093/bioinformatics/btx846
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