De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly.
about
Core and region-enriched networks of behaviorally regulated genes and the singing genomelimma powers differential expression analyses for RNA-sequencing and microarray studiescsaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows.From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq dataIntegrative Analysis of Histone ChIP-seq and RNA-seq Data.The KDM5 family is required for activation of pro-proliferative cell cycle genes during adipocyte differentiationRepression of Igf1 expression by Ezh2 prevents basal cell differentiation in the developing lungIdentifying differential transcription factor binding in ChIP-seq.diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data.Histone H3 Lysine 27 demethylases Jmjd3 and Utx are required for T-cell differentiationTranscriptome and H3K27 tri-methylation profiling of Ezh2-deficient lung epithelium.MethylAction: detecting differentially methylated regions that distinguish biological subtypes.Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic TechnologiesSetdb1-mediated H3K9 methylation is enriched on the inactive X and plays a role in its epigenetic silencing.Promoter H3K4 methylation dynamically reinforces activation-induced pathways in human CD4 T cellsStatistical methods for detecting differentially methylated loci and regionsGenoGAM: genome-wide generalized additive models for ChIP-Seq analysis.From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipelineDifferential peak calling of ChIP-seq signals with replicates with THORDChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies.Acetylated histone variant H2A.Z is involved in the activation of neo-enhancers in prostate cancer.Landscape of nuclear transport receptor cargo specificity.Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeR.H3K27 Methylation Dynamics during CD4 T Cell Activation: Regulation of JAK/STAT and IL12RB2 Expression by JMJD3.CTCF maintains regulatory homeostasis of cancer pathwaysCOMRADES determines in vivo RNA structures and interactions
P2860
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P2860
De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
De novo detection of different ...... rolling error rates correctly.
@ast
De novo detection of different ...... rolling error rates correctly.
@en
type
label
De novo detection of different ...... rolling error rates correctly.
@ast
De novo detection of different ...... rolling error rates correctly.
@en
prefLabel
De novo detection of different ...... rolling error rates correctly.
@ast
De novo detection of different ...... rolling error rates correctly.
@en
P2860
P356
P1476
De novo detection of different ...... rolling error rates correctly.
@en
P2093
Aaron T L Lun
P2860
P356
10.1093/NAR/GKU351
P407
P577
2014-05-22T00:00:00Z