HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. - Wikidata - wikimedia - TriplyDB

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

http://www.wikidata.org/entity/Q33624191

about

Evaluation of algorithm performance in ChIP-seq peak detection Practical guidelines for the comprehensive analysis of ChIP-seq data Features that define the best ChIP-seq peak calling algorithms Regulation of several androgen-induced genes through the repression of the miR-99a/let-7c/miR-125b-2 miRNA cluster in prostate cancer cells.A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.A novel Bayesian change-point algorithm for genome-wide analysis of diverse ChIPseq data types Comparative annotation of functional regions in the human genome using epigenomic data NEXT-peak: a normal-exponential two-peak model for peak-calling in ChIP-seq data.Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data.Integrative analysis of deep sequencing data identifies estrogen receptor early response genes and links ATAD3B to poor survival in breast cancer HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data.Peak Finder Metaserver - a novel application for finding peaks in ChIP-seq data.T-KDE: a method for genome-wide identification of constitutive protein binding sites from multiple ChIP-seq data sets A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data.Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies among Observations.Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data.PePr: a peak-calling prioritization pipeline to identify consistent or differential peaks from replicated ChIP-Seq data.ChIPseek, a web-based analysis tool for ChIP data BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data.groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data.BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates.A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data.Statistical challenges in analyzing methylation and long-range chromosomal interaction data Processing and analyzing ChIP-seq data: from short reads to regulatory interactions.Characterising ChIP-seq binding patterns by model-based peak shape deconvolution.H2B ubiquitylation promotes RNA Pol II processivity via PAF1 and pTEFb Identifying dispersed epigenomic domains from ChIP-Seq data.ChIP-chip versus ChIP-seq: lessons for experimental design and data analysis.PeakRanger: a cloud-enabled peak caller for ChIP-seq data.Deep sequencing reveals distinct patterns of DNA methylation in prostate cancer.An integrated ChIP-seq analysis platform with customizable workflows Discovering transcription factor binding sites in highly repetitive regions of genomes with multi-read analysis of ChIP-Seq data Repression of androgen receptor transcription through the E2F1/DNMT1 axis.Normalization of high dimensional genomics data where the distribution of the altered variables is skewed.Reciprocal occupancy of BCL6 and STAT5 on Growth Hormone target genes: contrasting transcriptional outcomes and promoter-specific roles of p300 and HDAC3.GPUmotif: an ultra-fast and energy-efficient motif analysis program using graphics processing units Pinpointing transcription factor binding sites from ChIP-seq data with SeqSite.Genome-wide localization of protein-DNA binding and histone modification by a Bayesian change-point method with ChIP-seq data.Therapeutic targeting of BET bromodomain proteins in castration-resistant prostate cancer A wavelet approach to detect enriched regions and explore epigenomic landscapes.

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HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

http://www.wikidata.org/entity/Q33624191

description

2010 nî lūn-bûn

@nan

2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

@ast

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

@en

type

label

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

@ast

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

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prefLabel

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

@ast

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

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BMC Bioinformatics

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HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.

@en

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Arul M Chinnaiyan

http://www.w3.org/2001/XMLSchema#string

Christopher A Maher

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Jianjun Yu

http://www.w3.org/2001/XMLSchema#string

Jincheng Shen

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Jindan Yu

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P2860

Model-based analysis of ChIP-Seq (MACS)

Mapping and quantifying mammalian transcriptomes by RNA-Seq

An integrated network of androgen receptor, polycomb, and TMPRSS2-ERG gene fusions in prostate cancer progression

Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.

A hidden Markov model approach for determining expression from genomic tiling micro arrays

Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data

Genome-wide maps of chromatin state in pluripotent and lineage-committed cells

A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis

The human genome browser at UCSC

High-resolution profiling of histone methylations in the human genome

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Zhaohui Steve Qin

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45089275

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2912305

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