Wellington: a novel method for the accurate identification of digital genomic footprints from DNase-seq data.
about
BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.Romulus: robust multi-state identification of transcription factor binding sites from DNase-seq data.DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data.A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactionsMotif oriented high-resolution analysis of ChIP-seq data reveals the topological order of CTCF and cohesin proteins on DNA.Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionCombining ATAC-seq with nuclei sorting for discovery of cis-regulatory regions in plant genomes.RUNX1-ETO and RUNX1-EVI1 Differentially Reprogram the Chromatin Landscape in t(8;21) and t(3;21) AML.Protein-altering and regulatory genetic variants near GATA4 implicated in bicuspid aortic valve.Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade.The haploinsufficient tumor suppressor, CUX1, acts as an analog transcriptional regulator that controls target genes through distal enhancers that loop to target promoters.Chromatin accessibility: a window into the genome.Explicit DNase sequence bias modeling enables high-resolution transcription factor footprint detection.Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers.DNase footprint signatures are dictated by factor dynamics and DNA sequencec-Myb Binding Sites in Haematopoietic Chromatin LandscapesIdentification of a dynamic core transcriptional network in t(8;21) AML that regulates differentiation block and self-renewal.Motif signatures in stretch enhancers are enriched for disease-associated genetic variants.Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors.Genome-wide footprinting: ready for prime time?Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.DeFCoM: analysis and modeling of transcription factor binding sites using a motif-centric genomic footprinter.Transcriptional regulatory logic of the diurnal cycle in the mouse liver.DIANA-miRGen v3.0: accurate characterization of microRNA promoters and their regulators.RAG1 targeting in the genome is dominated by chromatin interactions mediated by the non-core regions of RAG1 and RAG2.Cooperative binding of AP-1 and TEAD4 modulates the balance between vascular smooth muscle and hemogenic cell fateAscl1 Coordinately Regulates Gene Expression and the Chromatin Landscape during Neurogenesis.Identifying and mitigating bias in next-generation sequencing methods for chromatin biology.An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues.msCentipede: Modeling Heterogeneity across Genomic Sites and Replicates Improves Accuracy in the Inference of Transcription Factor Binding.Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility.Progress and challenges in bioinformatics approaches for enhancer identification.The impact of epigenomic next-generation sequencing approaches on our understanding of neuropsychiatric disorders.Inducible chromatin priming is associated with the establishment of immunological memory in T cells.Genomic footprinting.Dynamic Gene Regulatory Networks of Human Myeloid Differentiation.Mocap: large-scale inference of transcription factor binding sites from chromatin accessibilityMost brain disease-associated and eQTL haplotypes are not located within transcription factor DNase-seq footprints in brain.Chronic FLT3-ITD Signaling in Acute Myeloid Leukemia Is Connected to a Specific Chromatin Signature.Integration of Kinase and Calcium Signaling at the Level of Chromatin Underlies Inducible Gene Activation in T Cells.
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P2860
Wellington: a novel method for the accurate identification of digital genomic footprints from DNase-seq data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Wellington: a novel method for ...... ootprints from DNase-seq data.
@ast
Wellington: a novel method for ...... ootprints from DNase-seq data.
@en
type
label
Wellington: a novel method for ...... ootprints from DNase-seq data.
@ast
Wellington: a novel method for ...... ootprints from DNase-seq data.
@en
prefLabel
Wellington: a novel method for ...... ootprints from DNase-seq data.
@ast
Wellington: a novel method for ...... ootprints from DNase-seq data.
@en
P2093
P2860
P50
P356
P1476
Wellington: a novel method for ...... ootprints from DNase-seq data.
@en
P2093
Markus C Elze
Pierre Cauchy
Sascha Ott
P2860
P356
10.1093/NAR/GKT850
P407
P577
2013-09-25T00:00:00Z