QCEWAS

QCEWAS performs automated quality control on epigenome-wide association study (EWAS) results files, producing cohort-specific statistics, comparative visualizations, and cleaned inputs for meta-analysis.

Key Features:

• Automated Quality Control: Automates QC of EWAS results files to enforce consistency and data integrity across studies.
• Cohort-Specific Analysis: Generates cohort-specific statistics and visualizations for identification of dataset-specific issues.
• Comparative Graphs: Produces graphical comparisons between multiple cohorts to evaluate consistency and variability across studies or populations.
• Preparation for Meta-Analysis: Outputs cleaned input files formatted and filtered for downstream EWAS meta-analysis.

Scientific Applications:

• Large-scale EWAS consortia: Standardizes QC across cohorts to support integrative analyses and meta-analyses of epigenetic associations.
• Cross-cohort data integration: Facilitates detection of cohort-specific artifacts and harmonization of EWAS summary results for combined analyses.

Methodology:

Performs statistical analysis, visualization, and data cleaning processes within the R programming environment.