about
Evaluation of algorithm performance in ChIP-seq peak detectionUncovering transcription factor modules using one- and three-dimensional analysesPeakSeq enables systematic scoring of ChIP-seq experiments relative to controlsHigh resolution detection and analysis of CpG dinucleotides methylation using MBD-Seq technologyFeatures that define the best ChIP-seq peak calling algorithmsWaveSeq: a novel data-driven method of detecting histone modification enrichments using wavelets.A co-localization model of paired ChIP-seq data using a large ENCODE data set enables comparison of multiple samples.r3Cseq: an R/Bioconductor package for the discovery of long-range genomic interactions from chromosome conformation capture and next-generation sequencing dataLOcating non-unique matched tags (LONUT) to improve the detection of the enriched regions for ChIP-seq dataSome Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies among Observations.TagDust--a program to eliminate artifacts from next generation sequencing data.Quantifying the impact of inter-site heterogeneity on the distribution of ChIP-seq dataInference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.Extracting transcription factor targets from ChIP-Seq data.Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data.Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data.A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experimentsA blind deconvolution approach to high-resolution mapping of transcription factor binding sites from ChIP-seq data.Statistics of protein-DNA binding and the total number of binding sites for a transcription factor in the mammalian genome.ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip dataMER41 repeat sequences contain inducible STAT1 binding sitesProcessing and analyzing ChIP-seq data: from short reads to regulatory interactions.Statistical Analyses of Next Generation Sequence Data: A Partial Overview.ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions.Genome-wide mapping of RNA Pol-II promoter usage in mouse tissues by ChIP-seq.In silico pooling of ChIP-seq control experiments.MACE: model based analysis of ChIP-exo.PAPD5, a noncanonical poly(A) polymerase with an unusual RNA-binding motif.Transcriptional landscape of repetitive elements in normal and cancer human cells.Allele-specific transcriptional elongation regulates monoallelic expression of the IGF2BP1 geneDirect ChIP-Seq significance analysis improves target prediction.Identification of host-chromosome binding sites and candidate gene targets for Kaposi's sarcoma-associated herpesvirus LANANormal and compound poisson approximations for pattern occurrences in NGS readsAlignment-free sequence comparison based on next-generation sequencing reads.ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles.Fewer permutations, more accurate P-valuesGenomic location analysis by ChIP-Seq.Vascular calcification in diabetes: mechanisms and implications.Mathematical Modeling of Avidity Distribution and Estimating General Binding Properties of Transcription Factors from Genome-Wide Binding Profiles.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Modeling ChIP sequencing in silico with applications
@ast
Modeling ChIP sequencing in silico with applications
@en
type
label
Modeling ChIP sequencing in silico with applications
@ast
Modeling ChIP sequencing in silico with applications
@en
prefLabel
Modeling ChIP sequencing in silico with applications
@ast
Modeling ChIP sequencing in silico with applications
@en
P2093
P2860
P1476
Modeling ChIP sequencing in silico with applications
@en
P2093
Joseph Chang
Michael Snyder
Zhengdong D Zhang
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000158
P577
2008-08-22T00:00:00Z