derfinder
derfinder performs annotation-agnostic differential expression analysis of RNA-seq data to identify differentially expressed regions (DERs) across the genome.
Key Features:
- Base-level differential expression: Assesses differential expression at each genomic base to detect DERs independent of predefined gene boundaries or transcript assembly.
- Region-level segmentation: Segments contiguous bases with similar differential expression signals into regions and assigns statistical significance to each region.
- Annotation-optional analysis: Enables discovery without reference annotations while permitting optional annotation of DERs using reference genomic feature databases.
- Applicability to ChIP-seq: Applies the same approach to identify differentially bounded ChIP-seq peaks.
Scientific Applications:
- RNA-seq differential expression discovery: Unbiased genome-wide identification of differentially expressed regions in RNA-seq experiments.
- Regulatory element and non-coding RNA discovery: Detection of novel regulatory elements and non-coding RNAs that lie outside known gene boundaries.
- Chromatin and TF binding analysis: Analysis of chromatin dynamics and transcription factor binding variation via differential ChIP-seq peak boundaries.
Methodology:
Performs a genome-wide base-level assessment of differential expression, segments contiguous bases into regions based on similar differential expression signals, and assigns statistical significance to each region; annotation of DERs using reference genomic feature databases is optional.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/10/2019
Operations
Data Inputs & Outputs
Differential gene expression analysis
Publications
Frazee AC, Sabunciyan S, Hansen KD, Irizarry RA, Leek JT. Differential expression analysis of RNA-seq data at single-base resolution. Biostatistics. 2014;15(3):413-426. doi:10.1093/biostatistics/kxt053. PMID:24398039. PMCID:PMC4059460.