Tips from Methylation Array Experts
Hear experts describe their approaches to methylation array data analysis at the Second Annual Infinium HumanMethylation450 Array Workshop.
Illumina 450K BeadChip Arrays: A New Chip Analysis Methylation Pipeline (ChAMP)
Tiffany Morris, Ph.D., from the UCL Cancer Institute, discusses the features of the New ChAMP 450K array analysis pipeline, which combines analysis tools in an easy-to-use R package.
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Leveraging Hidden Information to Correct for Background Fluorescence
Kim Siegmund, Ph.D., from USC Keck School of Medicine, discusses background correction methods for Infinium HumanMethylation450K BeadChip data.
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Marmal-Aid: A New Bioinformatics Tool for Meta-Analysis of Illumina 450K Data
Robert Lowe, Ph.D., from Barts and London School of Medicine and Dentistry, discusses the development of Marmal-Aid, a bioinformatics tool that enables analysis of differentially methylated probes identified using the Infinium HumanMethylation450K BeadChip.
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A Data-Driven Approach to Preprocessing Illumina 450K
Chloe Wong, Ph.D., from King's College London, discusses the development of her team's wateRmelon R package for analysis of Infinium HumanMethylation450K BeadChip data.
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Evaluation of Analysis Pipelines for Illumina HM450 BeadChips
Francesco Marabita, Ph.D., from the Karolinska Institute, discusses his recent work in performing a systematic comparison of different analysis pipelines for Infinium HumanMethylation450K BeadChip data.
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Using Minfi to Identify Differentially Methylated Regions with the 450K Array
Kasper Daniel Hansen, Ph.D., from Johns Hopkins University, discusses Minfi ‒ a bioconductor package for analysis of Infinium HumanMethylation450K BeadChip data.
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Analyzing and Interpreting DNA Methylation Data
Christoph Bock, Ph.D. from the Ce-M-M Research Center for Molecular Medicine, discusses epigenetic study design, the various methods for studying DNA methylation, the bioinformatic analysis and interpretation of methylation data, and some relevant applications.
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