BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions
about
Profiling genome-wide DNA methylationBase resolution methylome profiling: considerations in platform selection, data preprocessing and analysisIntegrating Epigenomics into the Understanding of Biomedical InsightWBSA: web service for bisulfite sequencing data analysisHigh-Throughput Analysis of Global DNA Methylation Using Methyl-Sensitive DigestionThe recently identified modifier of murine metastable epialleles, Rearranged L-Myc Fusion, is involved in maintaining epigenetic marks at CpG island shores and enhancersEpiviz: a view inside the design of an integrated visual analysis software for genomicsEpigenome data release: a participant-centered approach to privacy protectionSilicon era of carbon-based life: application of genomics and bioinformatics in crop stress researchCoverage recommendations for methylation analysis by whole-genome bisulfite sequencingNext-generation technologies and data analytical approaches for epigenomics.A Bayesian hierarchical model to detect differentially methylated loci from single nucleotide resolution sequencing data.MOABS: model based analysis of bisulfite sequencing data.DMAP: differential methylation analysis package for RRBS and WGBS data.Methy-Pipe: an integrated bioinformatics pipeline for whole genome bisulfite sequencing data analysisA mixture modeling framework for differential analysis of high-throughput data.Comprehensive analysis of DNA methylation data with RnBeads.AKSmooth: enhancing low-coverage bisulfite sequencing data via kernel-based smoothing.WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis tools.methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data.Estimating DNA methylation levels by joint modeling of multiple methylation profiles from microarray dataA Flexible, Efficient Binomial Mixed Model for Identifying Differential DNA Methylation in Bisulfite Sequencing Data.Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data.metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data.Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions.A full Bayesian partition model for identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data.Differential methylation analysis for BS-seq data under general experimental design.Methods for identifying differentially methylated regions for sequence- and array-based data.Saturation analysis for whole-genome bisulfite sequencing data.Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics.Statistical challenges in analyzing methylation and long-range chromosomal interaction dataStatistical method evaluation for differentially methylated CpGs in base resolution next-generation DNA sequencing data.epiG: statistical inference and profiling of DNA methylation from whole-genome bisulfite sequencing data.Reconstructing the DNA Methylation Maps of the Neandertal and the DenisovanSPlinted Ligation Adapter Tagging (SPLAT), a novel library preparation method for whole genome bisulphite sequencingTranscriptomics and methylomics of CD4-positive T cells in arsenic-exposed womenModeling complex patterns of differential DNA methylation that associate with gene expression changes.NELL1, whose high expression correlates with negative outcomes, has different methylation patterns in alveolar and embryonal rhabdomyosarcomaIntegration of DNA methylation and gene transcription across nineteen cell types reveals cell type-specific and genomic region-dependent regulatory patterns.NicE-seq: high resolution open chromatin profiling.
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BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
BSmooth: from whole genome bis ...... ferentially methylated regions
@ast
BSmooth: from whole genome bis ...... ferentially methylated regions
@en
BSmooth: from whole genome bis ...... ferentially methylated regions
@en-gb
BSmooth: from whole genome bis ...... ferentially methylated regions
@nl
type
label
BSmooth: from whole genome bis ...... ferentially methylated regions
@ast
BSmooth: from whole genome bis ...... ferentially methylated regions
@en
BSmooth: from whole genome bis ...... ferentially methylated regions
@en-gb
BSmooth: from whole genome bis ...... ferentially methylated regions
@nl
prefLabel
BSmooth: from whole genome bis ...... ferentially methylated regions
@ast
BSmooth: from whole genome bis ...... ferentially methylated regions
@en
BSmooth: from whole genome bis ...... ferentially methylated regions
@en-gb
BSmooth: from whole genome bis ...... ferentially methylated regions
@nl
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BSmooth: from whole genome bis ...... ferentially methylated regions
@en
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Benjamin Langmead
Rafael A Irizarry
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P356
10.1186/GB-2012-13-10-R83
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2012-01-01T00:00:00Z
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1019663380