Predicting functionally important SNP classes based on negative selection.
about
Tissue-Specific Enrichment of Lymphoma Risk Loci in Regulatory Elements.Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases.Importance of different types of prior knowledge in selecting genome-wide findings for follow-up.Assigning function to natural allelic variation via dynamic modeling of gene network induction.Variance explained by whole genome sequence variants in coding and regulatory genome annotations for six dairy traits.Architecture of polymorphisms in the human genome reveals functionally important and positively selected variants in immune response and drug transporter genes
P2860
Predicting functionally important SNP classes based on negative selection.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Predicting functionally important SNP classes based on negative selection.
@ast
Predicting functionally important SNP classes based on negative selection.
@en
type
label
Predicting functionally important SNP classes based on negative selection.
@ast
Predicting functionally important SNP classes based on negative selection.
@en
prefLabel
Predicting functionally important SNP classes based on negative selection.
@ast
Predicting functionally important SNP classes based on negative selection.
@en
P2860
P356
P1433
P1476
Predicting functionally important SNP classes based on negative selection.
@en
P2093
Mark A Levenstien
Robert J Klein
P2860
P2888
P356
10.1186/1471-2105-12-26
P577
2011-01-19T00:00:00Z