Searching across hundreds of databases
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://www.unc.edu/~yunmli/betaseq/
Proper Citation: BETASEQ (RRID:SCR_006401)
Description: Software to control Type-I error inflation in partially sequenced data for rare variant association testing. It is typically used to combine sequence and genotype data for the two stage design, in which individuals sequenced in stage one for variant detection are solely or predominantly cases then in stage two the discovered variants are genotyped in the remaining individuals. BETASEQ can work with any existing rare variant association methods that use genotypes or imputed genotypes as input.
Abbreviations: BETASEQ
Resource Type: software resource
Defining Citation: PMID:24336643
Keywords: variant association testing, variant association, variant
Expand Allis listed by |
|
has parent organization |
University of North Carolina at Chapel Hill; North Carolina; USA |
We found {{ ctrl2.mentions.total_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 BETASEQ.
No alerts have been found for BETASEQ.
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.
