Epigenetic Analysis: Bioinformatic Applications for Research
The whitepaper in brief
Epigenetic analyses are relevant to many areas of research. Epigenetic studies can achieve:
- Greater insight into protein–DNA interactions
- Resolution of cell type– or tissue-specific methylation patterns
- Characterisation of the response of cells or tissues to epigenome–modifying agents
- An enhanced understanding of the mechanisms regulating gene expression in response to environmental stresses or during developmental processes.
In this whitepaper, we discuss applications, challenges, and resolutions in epigenetic analysis, alongside what is expected in the future in this area.
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The study featured in this analysis report evaluated publicly available methylation data, deposited in the NCBI GEO database as part of a previously published study (GSE61278). The data set comprises methylation profiles of 110 human liver samples in total: 14 fetal samples and 96 adult samples (52 organ donors and 44 cancer patients). The samples were processed on ten Infinium HumanMethylation450 BeadChips. Three statistical comparisons were performed to identify differentially methylated features (DMFs) between:
- Adult liver (accidental and cancer-related death) and fetal liver
- Adult liver from accidental death and fetal liver
- Adult liver from cancer-related death and fetal liver
The report has been created to showcase our data analysis reports and capabilities in Epigenetics
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