DROPA
DROPA annotates DRIP-seq peaks to genes using gene expression information to assign strand-specific R-loop peaks within gene bodies and improve annotation accuracy for R-loop mapping.
Key Features:
- Customization: Allows selection of reference datasets and definition of gene features for annotation.
- Strand-Specific Annotation: Assigns R-loop peaks to the DNA template strand within gene bodies with a false positive rate of less than 7%.
- Performance and Accuracy: Identifies fewer false positive annotations compared to three widely used annotation tools.
- Integration into Pipelines: Produces outputs formatted for downstream analysis pipelines.
- Informative Outputs: Generates summary plots and performs statistical enrichment tests.
Scientific Applications:
- DRIP-seq R-loop mapping: Annotates co-transcriptional DRIP-seq peaks in the context of R-loop mapping.
- Histone mark IP-seq: Applicable to Histone mark IP-seq datasets.
- DNAse-seq: Applicable to DNAse-seq datasets.
- FAIRE-seq: Applicable to FAIRE-seq datasets.
Methodology:
DROPA utilizes gene expression information to assign DRIP-seq peaks to genes and to the DNA template strand within gene bodies, achieving a reported false positive rate below 7%.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- R, Python
- Added:
- 11/14/2019
- Last Updated:
- 12/22/2020
Operations
Publications
Russo M, De Lucca B, Flati T, Gioiosa S, Chillemi G, Capranico G. DROPA: DRIP-seq optimized peak annotator. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-3009-9. PMID:31387525. PMCID:PMC6685255.
PMID: 31387525
PMCID: PMC6685255
Funding: - Associazione Italiana per la Ricerca sul Cancro: IG15886
- Università di Bologna: PhD Fellowship program
Links
Issue tracker
https://github.com/marcrusso/DROPA/issues