annotatr

annotatr annotates genomic regions from next-generation sequencing data by assigning gene model, CpG-related, and regulatory annotations and summarizing intersections to support biological interpretation of regions such as differentially methylated CpGs, transcription factor binding sites, interacting chromatin regions, and GWAS-associated SNPs.

Key Features:

• Flexible Annotation Sources: Provides annotations from gene models (promoters, 5'UTRs, exons, introns, 3'UTRs), CpG-related features (CpG islands, shores, shelves), and regulatory sequences such as enhancers.
• Efficient Intersection Analysis: Summarizes intersections between input regions and annotations and reports all possible overlaps rather than enforcing one-to-one mappings.
• High Performance: Optimized for speed, with reported performance up to 27 times faster than comparable R packages.
• Comprehensive Visualization Options: Implements graphics functions to plot numerical and categorical data associated with genomic regions across different annotations.
• Rich Biological Interpretation: Integrates detailed annotation information with visualization to aid interpretation of gene regulation and epigenetic modifications.

Scientific Applications:

• Epigenomics: Investigating differentially methylated CpGs and differentially methylated regions to study epigenetic regulation.
• Transcription Factor Binding Studies: Identifying and annotating transcription factor binding sites to explore gene regulatory networks.
• Chromatin Interaction Analysis: Mapping interacting chromatin regions to study 3D genome organization.
• Genome-Wide Association Studies (GWAS): Annotating GWAS-associated SNPs to assess potential functional impacts.

Methodology:

Performs intersection analyses between input genomic regions and annotation sources (gene models, CpG features, enhancers), reports all overlaps, and summarizes and visualizes numerical and categorical region-associated data.