MARome
MARome maps Scaffold and Matrix Attachment Regions (S/MARs) across the human genome, providing genome-wide coordinates and annotations to study chromatin domain organization, gene regulation, and retroviral integration.
Key Features:
- Genome-wide S/MAR coordinates: Non-redundant S/MAR coordinates derived from analysis of ChIP-Seq data from 14 distinct S/MAR binding proteins.
- S/MAR attribute annotation: Per-region annotations include S/MAR length, inter-SMAR lengths (indicative of chromatin loop sizes), nucleotide repeats, motif abundance, chromosomal distribution, and genomic context.
- Retroviral integration enrichment: Annotation and analysis identify S/MARs as hotspots for retroviral integration, including enrichment for HIV and HTLV integration sites.
- Cross-resource integration: S/MAR coordinates and annotations are cross-referenced with the UCSC Genome Browser, Ensembl, and NCBI-Gene.
Scientific Applications:
- Chromatin architecture mapping: Use inter-SMAR lengths and S/MAR distributions to infer chromatin loop sizes and domain boundaries.
- Gene regulation studies: Investigate the influence of S/MARs on gene expression based on genomic context and motif abundance.
- Retroviral integration studies: Analyze integration site preferences and enrichment for retroviruses such as HIV and HTLV at S/MARs.
- Disease and phenotype research: Correlate S/MAR organization and distribution with phenotypic outcomes and disease mechanisms.
Methodology:
ChIP-Seq data from 14 distinct S/MAR binding proteins were analyzed to generate a non-redundant dataset of S/MAR coordinates and to compute region attributes (length, inter-SMAR lengths, nucleotide repeats, motif abundance, chromosomal distribution, genomic context), with results cross-referenced to UCSC Genome Browser, Ensembl, and NCBI-Gene.
Topics
Details
- Tool Type:
- web application
- Added:
- 3/19/2020
- Last Updated:
- 1/14/2025
Operations
Publications
Narwade N, Patel S, Alam A, Chattopadhyay S, Mittal S, Kulkarni A. Mapping of scaffold/matrix attachment regions in human genome: a data mining exercise. Nucleic Acids Research. 2019;47(14):7247-7261. doi:10.1093/nar/gkz562. PMID:31265077. PMCID:PMC6698742.
Documentation
Downloads
- Biological datahttps://marome.bionivid.in/download