Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://staraniso.globalphasing.org/cgi-bin/staraniso.cgi
Proper Citation: STARANISO (RRID:SCR_018362)
Description: Web server for anisotropy of diffraction limit and Bayesian estimation of structure amplitudes by Global Phasing Limited. Server uses DEBYE and STARANISO software to perform anisotropic cut off of merged intensity data, to perform Bayesian estimation of structure amplitudes and to apply anisotropic correction to data.
Synonyms: The STARANISO Server, STARANISO Server, STARANISO server
Resource Type: web service, analysis service resource, production service resource, service resource, data access protocol, software resource
Keywords: Anisotropy, diffraction limit, Bayesian estimation, structure amplitude, Global Phasing Limited, anisotropic cut off, data, anisotropic correction data
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for STARANISO.
No alerts have been found for STARANISO.
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
