A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
about
csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows.Differential methylation analysis for BS-seq data under general experimental design.Statistical challenges in analyzing methylation and long-range chromosomal interaction dataTowards precision medicine-based therapies for glioblastoma: interrogating human disease genomics and mouse phenotypesAn approach of identifying differential nucleosome regions in multiple samples.QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.A comprehensive comparison of tools for differential ChIP-seq analysis.Recent advances in ChIP-seq analysis: from quality management to whole-genome annotation.HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristics.Measuring the spatial correlations of protein binding sites.Analysis of ChIP-seq Data in R/Bioconductor.chromswitch: A flexible method to detect chromatin state switches.Parallel factor ChIP provides essential internal control for quantitative differential ChIP-seq.Optimized distributed systems achieve significant performance improvement on sorted merging of massive VCF files.
P2860
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P2860
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年學術文章
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name
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@ast
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@en
type
label
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@ast
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@en
prefLabel
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@ast
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@en
P2860
P356
P1433
P1476
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
@en
P2860
P304
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10.1093/BIOINFORMATICS/BTV094
P407
P577
2015-02-13T00:00:00Z