Mobius Data: DNA Methylation Profiles for ME/CFS and Long COVID Research

Mobius Data provides DNA methylation data from blood samples of individuals with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), Long COVID, and healthy controls. The dataset, created by VerisimilitudeX and last updated on August 9, 2025, is derived from Illumina HumanMethylation450 BeadChip and MethylationEPIC arrays. It is organized to facilitate research into epigenetic biomarkers for these post-viral illnesses.

Use Cases

• Identify epigenetic biomarkers for ME/CFS based on DNA methylation patterns from blood samples.
• Compare DNA methylation profiles between Long COVID patients and healthy controls.
• Investigate shared or distinct epigenetic signatures in ME/CFS and Long COVID.
• Train machine learning models to classify patient groups using methylation array data.

Strengths

• Data is derived from two established Illumina methylation array platforms (HumanMethylation450 and MethylationEPIC).
• Includes samples from three distinct cohorts: ME/CFS patients, Long COVID patients, and healthy controls.
• Dataset was last updated on 2025-08-09, suggesting recent maintenance.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is incomplete and redirects to an external page for full details.

Provenance

Source

huggingface

Collection Method

Derived from Illumina HumanMethylation450 BeadChip and Illumina MethylationEPIC arrays on blood samples.

Freshness

Last updated 2025-08-09 20:29:22