We are analyzing https://link.springer.com/article/10.1186/gb-2012-13-6-r44.

Title:
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips | Genome Biology
Description:
DNA methylation is the most widely studied epigenetic mark and is known to be essential to normal development and frequently disrupted in disease. The Illumina HumanMethylation450 BeadChip assays the methylation status of CpGs at 485,577 sites across the genome. Here we present Subset-quantile Within Array Normalization (SWAN), a new method that substantially improves the results from this platform by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.
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Keywords {🔍}

infinium, probes, methylation, probe, swan, data, cpg, pubmed, article, figure, analysis, distributions, dna, google, scholar, cpgs, methylated, array, normalization, cas, samples, differences, intensity, human, distribution, technical, types, humanmethylation, method, unmethylated, subset, differential, arrays, body, genome, cancer, file, raw, normal, results, minfi, sample, central, methods, underlying, replicates, authors, target, intensities, density,

Topics {✒️}

org/packages/release/bioc/html/minfi lavinia gordon & alicia oshlack article number r44 article download pdf genome-scale profiling reveals methyl-dna immunoprecipitation combined normal human kidney related subjects histone-modification maps reduced-representation bisulfite sequencing mira-assisted microarray analysis large-scale methylation analysis dna methylation profiling high-throughput sequencing human dna methylomes differential dna methylation humanmethylation450 beadchip includes normal kidney samples rectal adenocarcinoma cohort privacy choices/manage cookies full size image transformed human cells tcga research network dna methylation patterns profiling dna methylomes mcf7 cell line genome-wide profiling promoter methylation identifies reducing technical variation probe type separately cancer genome atlas differential methylation analysis authors’ original file identifies frequent methylation hemi-methylated reference standards full access receiver operating characteristic computational biology solutions genome-scale sequencing infinium probe type single base resolution single bead type generation sequencing technologies genome-wide analysis quantifying methylation levels cpg island mapping lung cancer cells genome-wide scale [5–14] genome-wide identification genome-wide screen

Schema {🗺️}

WebPage:
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         headline:SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
         description:DNA methylation is the most widely studied epigenetic mark and is known to be essential to normal development and frequently disrupted in disease. The Illumina HumanMethylation450 BeadChip assays the methylation status of CpGs at 485,577 sites across the genome. Here we present Subset-quantile Within Array Normalization (SWAN), a new method that substantially improves the results from this platform by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.
         datePublished:2012-06-15T00:00:00Z
         dateModified:2012-06-15T00:00:00Z
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      headline:SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
      description:DNA methylation is the most widely studied epigenetic mark and is known to be essential to normal development and frequently disrupted in disease. The Illumina HumanMethylation450 BeadChip assays the methylation status of CpGs at 485,577 sites across the genome. Here we present Subset-quantile Within Array Normalization (SWAN), a new method that substantially improves the results from this platform by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.
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         Probe Type
         Renal Clear Cell Carcinoma
         Array Normalization
         Normal Human Kidney
         Probe Body
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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