SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
about
An efficient method to transcription factor binding sites imputation via simultaneous completion of multiple matrices with positional consistency.The accessible chromatin landscape during conversion of human embryonic stem cells to trophoblast by bone morphogenetic protein 4.Inherent limitations of probabilistic models for protein-DNA binding specificity.JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework.Comparison of ChIP-Seq Data and a Reference Motif Set for Human KRAB C2H2 Zinc Finger Proteins.Organizing combinatorial transcription factor recruitment at cis-regulatory modules.A unified approach for quantifying and interpreting DNA shape readout by transcription factors.True equilibrium measurement of transcription factor-DNA binding affinities using automated polarization microscopy.The architecture of an empirical genotype-phenotype map.Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation.Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression.Accurate and sensitive quantification of protein-DNA binding affinity.Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding.Divergence in DNA Specificity among Paralogous Transcription Factors Contributes to Their Differential In Vivo Binding.RNA-mediated gene regulation is less evolvable than transcriptional regulation.
P2860
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P2860
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh-hant
name
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@en
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@nl
type
label
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@en
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@nl
prefLabel
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@en
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@nl
P2093
P2860
P50
P356
P1433
P1476
SMiLE-seq identifies binding motifs of single and dimeric transcription factors.
@en
P2093
Didier Trono
Pernille Rainer
Philipp Bucher
Riccardo Dainese
Romain Groux
P2860
P2888
P304
P356
10.1038/NMETH.4143
P577
2017-01-16T00:00:00Z
P6179
1051044599