ViralMBD
ViralMBD identifies viral fragments in methyl-CpG binding domain (MBD) affinity purification sequencing (MBD-seq) data to detect methylated viral sequences relevant to epigenetics and cancer research.
Key Features:
- Viral detection methodology: Maps non-reference alignable reads from paired-end MBD-seq data to a comprehensive set of viral reference genomes.
- Detected virus range: Identifies viral sequences including phages, adenoviruses, herpesviridae, and human papillomavirus (HPV).
- Application to cervical samples: Validated on 92 cervical tissue and cell line samples covering primary carcinomas, CIN1, CIN2/3, normal tissue, and controls with emphasis on HPV detection.
- Statistical analysis: Reports significant differences in viral load or methylation between normal and carcinoma/CIN2/3 samples with adjusted p-values <10^-5.
- Validation of results: PCR-based assays independently validated 71% of detections and the tool's capacity to distinguish fragments from different HPV types.
Scientific Applications:
- Epigenetics research: Enables identification of methylated viral sequences to study viral effects on host epigenetic modifications.
- Cancer development studies: Supports investigation of viruses such as HPV in cervical cancer progression and lesion grade comparisons.
- Cost-effective analysis: Extracts viral information from otherwise unmapped MBD-seq reads to provide additional biological insight without separate sequencing assays.
Methodology:
Maps unmapped or non-uniquely mapped paired-end MBD-seq reads to a comprehensive viral reference genome set using reference-based alignment of non-reference alignable reads.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/17/2016
- Last Updated:
- 11/25/2024
Operations
Publications
Mensaert K, Van Criekinge W, Thas O, Schuuring E, Steenbergen RD, Wisman GBA, De Meyer T. Mining for viral fragments in methylation enriched sequencing data. Frontiers in Genetics. 2015;6. doi:10.3389/fgene.2015.00016. PMID:25699076. PMCID:PMC4316777.