ScÅtter - software for the analysis of biological SAXS datasets

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2016-06-26 ScÅtter version 3.0d is now available.

scÅtter is JAVA-based software for the analysis of biological SAXS datasets.

DOWNLOAD

instructions and tutorial are available on the BIOISIS website.

High Throughput Mail-In SAXS

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Sign into our new sample submission & tracking system to reserve mail-in slots for your precious samples.

SAXS Similarity

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Comprehensive macromolecular conformations mapped by quantitative SAXS analysis.

Access the SAXS Similarity webapp.

Read, Learn, & Reference

BILBOMD

Molecular Dynamics and Minimal Ensemble Search with your SAXS data.

Access the BILBOMD webapp.

Read, Learn, & Reference

FoXS

The FoXS webapps were developed in collaboration with the Sali lab at UCSF and are hosted on their servers. The following two links will take you to their servers.

FoXS - Fast SAXS profile computation with Debye formula.

FoXSDOCK

The FoXS webapps were developed in collaboration with the Sali lab at UCSF and are hosted on their servers. The following two links will take you to their servers.

FoXS DOCK - Macromolecular Docking with SAXS Profile.

Restricted SAXS webapps

We provide the following web applications for analyzing your SAXS data. Because of limited computational resources, access to these particular webapps at the SIBYLS beamline is restricted to beamline users. If you've collected SAXS data at SIBYLS and would like to access these additional resources please contact Michal Hammel.

Additional SAXS Analysis Webapps

SAXS Sample Server

Here you can upload your Excel spreadsheet containing sample information and data collection strategy for use with SIBYLS high throughput SAXS data collection. A blank template spreadsheet is available after you log into the SAXS Sample Server.

BIOISIS

BIOISIS - Biological SAXS Data Repository

BIOISIS is not only a resource for depositing and distributing SAXS data and structures, but also hosts clear, well presented SAXS tutorials.

BIOISIS is an open access database dedicated to the study of biological macromolecules by small angle X-ray scattering (SAXS). The concept of a SAXS database was conceived of by John Tainer, Ph.D., of the Scripps Research Institute in La Jolla, CA., and Greg Hura, Ph.D., of the Lawrence Berkeley National Lab in Berkeley, CA. The project is funded by the Department of Energy.

BIOISIS aims to become the complete source for the deposition, distribution and maintenance of small angle X-ray scattering data and technologies.

SAXS Protocols