On the identification of potential regulatory variants within genome wide association candidate SNP sets
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1755-8794
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
On the identification of potential regulatory variants within genome wide association candidate SNP sets ; volume:7 ; number:1 ; day:11 ; month:6 ; year:2014 ; pages:1-15 ; date:12.2014
BMC medical genomics ; 7, Heft 1 (11.6.2014), 1-15, 12.2014
- Creator
-
Chen, Chih-Yu
- Contributor
-
Chang, I-Shou
Hsiung, Chao A.
Wasserman, Wyeth W.
SpringerLink (Online service)
- DOI
-
10.1186/1755-8794-7-34
- URN
-
urn:nbn:de:1111-201607225986
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chen, Chih-Yu
- Chang, I-Shou
- Hsiung, Chao A.
- Wasserman, Wyeth W.
- SpringerLink (Online service)
Other Objects (12)
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment
is-rSNP: a novel technique for in silico regulatory SNP detection
SNPs3D: Candidate gene and SNP selection for association studies
An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder
3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk
Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants
Functional analysis of candidate regulatory genes in regulatory T cells
Functional analysis of candidate regulatory genes in regulatory T cells
A 48 SNP set for grapevine cultivar identification
Interpreting regulatory variants with predictive models
vSNP: a SNP pipeline for the generation of transparent SNP matrices and phylogenetic trees from whole genome sequencing data sets
Discovering candidate regulatory networks in epigenomics and transcriptomics
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment
is-rSNP: a novel technique for in silico regulatory SNP detection
SNPs3D: Candidate gene and SNP selection for association studies
An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder
3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk
Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants
Functional analysis of candidate regulatory genes in regulatory T cells
Functional analysis of candidate regulatory genes in regulatory T cells
A 48 SNP set for grapevine cultivar identification
Interpreting regulatory variants with predictive models
vSNP: a SNP pipeline for the generation of transparent SNP matrices and phylogenetic trees from whole genome sequencing data sets
Discovering candidate regulatory networks in epigenomics and transcriptomics
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment
is-rSNP: a novel technique for in silico regulatory SNP detection
SNPs3D: Candidate gene and SNP selection for association studies
An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder
3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk
Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants
Functional analysis of candidate regulatory genes in regulatory T cells
Functional analysis of candidate regulatory genes in regulatory T cells
A 48 SNP set for grapevine cultivar identification
Interpreting regulatory variants with predictive models
vSNP: a SNP pipeline for the generation of transparent SNP matrices and phylogenetic trees from whole genome sequencing data sets