A statistical framework for power calculations in ChIP-seq experiments

scientific article published on 10 May 2013

A statistical framework for power calculations in ChIP-seq experiments is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/ZuoK14
P356DOI10.1093/BIOINFORMATICS/BTT200
P932PMC publication ID3957067
P698PubMed publication ID23665773
P5875ResearchGate publication ID236691611

P50authorSündüz KeleşQ91236256
P2093author name stringChandler Zuo
P2860cites workPICS: probabilistic inference for ChIP-seq.Q51557644
Evaluation of algorithm performance in ChIP-seq peak detectionQ21136324
Model-based analysis of ChIP-Seq (MACS)Q21183902
An integrated encyclopedia of DNA elements in the human genomeQ22122150
GENCODE: the reference human genome annotation for The ENCODE ProjectQ24608743
Integrative analysis of the Caenorhabditis elegans genome by the modENCODE projectQ28301622
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controlsQ28305773
Identification of functional elements and regulatory circuits by Drosophila modENCODEQ29617551
A Statistical Framework for the Analysis of ChIP-Seq DataQ31007638
An integrated software system for analyzing ChIP-chip and ChIP-seq dataQ33382059
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaksQ33390488
A signal-noise model for significance analysis of ChIP-seq with negative controlQ33550016
ChIP-chip versus ChIP-seq: lessons for experimental design and data analysis.Q33831056
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regionsQ33970447
Heritable individual-specific and allele-specific chromatin signatures in humansQ34087197
Variation in transcription factor binding among humansQ34105133
Systematic evaluation of factors influencing ChIP-seq fidelityQ34241267
Normalization of ChIP-seq data with controlQ34376050
Genome-scale analysis of escherichia coli FNR reveals complex features of transcription factor binding.Q34789412
Dynamics of the epigenetic landscape during erythroid differentiation after GATA1 restorationQ35451782
Design and analysis of ChIP-seq experiments for DNA-binding proteinsQ37003887
P433issue6
P407language of work or nameEnglishQ1860
P921main subjectstatisticsQ12483
P1104number of pages8
P304page(s)753-760
P577publication date2013-05-10
P1433published inBioinformaticsQ4914910
P1476titleA statistical framework for power calculations in ChIP-seq experiments
P478volume30

Reverse relations

cites work (P2860)
Q55379249A Hierarchical Framework for State-Space Matrix Inference and Clustering.
Q31141946A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets
Q90372548A chromatin integration labelling method enables epigenomic profiling with lower input
Q40512113Genetic Regulation of Yersinia pestis
Q38729920Power and sample size calculations for high-throughput sequencing-based experiments.
Q38775774Recent advances in ChIP-seq analysis: from quality management to whole-genome annotation
Q38816948Sequencing on the SOLiD 5500xl System - in-depth characterization of the GC bias
Q35933400Systematic evaluation of the impact of ChIP-seq read designs on genome coverage, peak identification, and allele-specific binding detection
Q30829889Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis

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