Our Epigenetics Analysis Pipeline
Unlock the full potential of your epigenetics research with our cutting-edge bioinformatics analysis pipeline, bringing together the power of differential methylation analysis, network analysis, and AI to transform your data into meaningful insights. Our detailed reports include thorough analysis results and biological interpretations, helping you draw significant conclusions and make informed decisions in your research endeavors.
Flexible and Customizable Analysis
Our epigenetics analysis pipeline is designed to be flexible, allowing you to choose the specific modules that suit your needs. While fundamental preprocessing is always included, the remaining steps can be tailored to your requirements. The pipeline consists of the modules below.
- Preprocessing
Our epigenetics analysis pipeline is designed to be flexible, allowing you to choose the specific modules that suit your needs. While fundamental preprocessing is always included, the remaining steps can be tailored to your requirements. The pipeline consists of the following modules:
- Differential methylation analysis
Our basic analysis includes data explorative analysis, such as dimensionality reduction to uncover patterns and cell type deconvolution to identify cell type ratios in your samples. At the core of this is differential expression analysis, which identifies differentially methylated CpG sites (DMCs) in your data. We follow this with pathway enrichment analysis that places these DMCs into a functional context, providing deeper insights into their biological significance.
- Network-based functional analysis
We leverage a collection of module identification methods and known interaction networks to uncover complex molecular interactions underlying differences between sample groups. These networks, combined with pathway enrichment analysis, allow us to gain a comprehensive understanding of the functional relationships between DMC-associated genes.
- AI analysis: Advanced predictive modeling
Our expanding set of explainable AI models captures complex functional effects based on systemic changes across the methylome. At the center is our Epigenetic Age estimation, which, unlike chronological age, reflects genetic, environmental, and lifestyle factors. Additionally, we offer several predictive models related to general health and lifestyle, such as smoking status, inflammation and BMI.
- Custom prediction models
For detailed insights tailored to your research, we offer custom prediction models, assuming that your data has sufficient sample sizes. As these models are created on a case-by-case basis an initial consultation is needed to explore how we can develop a predictor specific to your needs.
Tailored Reporting for Customized Results
and Interpretations
The results of our epigenetics analysis are presented in a comprehensive report, tailored to your predefined needs. We strive to provide clear, actionable insights to support your research and decision-making process, with the report containing expert analysis from both seasoned bioinformaticians and epigenetic researchers.