agplus
agplus generates text tables for aggregation plots from ChIP-Seq signal data to enable analysis of signal distributions at user-defined genomic loci.
Key Features:
- Aggregation table generation: Produces structured text tables formatted for aggregation plot creation from signal data.
- Custom group designation: Allows defining multiple groups based on genomic features such as regulatory regions and transcription initiation sites.
- ChIP-Seq signal parsing: Parses ChIP-Seq data to extract signal values at user-defined genomic loci.
- Rapid data processing: Optimized for fast generation of the text tables required for aggregation plots.
- Structured output for plotting: Organizes extracted signals into tables suitable for downstream aggregation plot visualization and enrichment/depletion assessment.
Scientific Applications:
- Aggregation plot analysis: Enables generation of aggregation plots to visualize average signal distributions across genomic regions.
- Protein–DNA interaction studies: Supports analysis of ChIP-Seq data to investigate transcription factor binding and other protein–DNA interactions.
- Gene regulation profiling: Facilitates identification of signal patterns related to regulatory regions and transcription initiation sites.
- Epigenetic modification mapping: Aids examination of enrichment or depletion of epigenetic marks across genomic loci.
Methodology:
Parses ChIP-Seq data to extract relevant signals at user-defined genomic loci and organizes these signals into structured text tables for downstream aggregation plot generation.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Shell, Ruby
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Maehara K, Ohkawa Y. agplus: a rapid and flexible tool for aggregation plots. Bioinformatics. 2015;31(18):3046-3047. doi:10.1093/bioinformatics/btv322. PMID:25995229.
PMID: 25995229