A method to predict the impact of regulatory variants from DNA sequence
A method to predict the impact of regulatory variants from DNA sequence
About this item
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Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publication information
Publisher
New York: Nature Publishing Group US
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More information
Scope and Contents
Contents
Michael Beer and colleagues report a metric based on a regulatory region annotation method, gkm-SVM, and use this to predict the effects of regulatory variants from sequencing and DNase I–hypersensitive site data. They apply their method to autoimmune disease GWAS data and report several new predictions for causal SNPs.
Most variants implicated...
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Full title
A method to predict the impact of regulatory variants from DNA sequence
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4520745
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4520745
Other Identifiers
ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/ng.3331
