polyester
polyester simulates RNA-seq reads to enable benchmarking and development of differential expression analysis methods, including isoform-level changes across biological replicates.
Key Features:
- Simulation of RNA-seq Reads: Simulates RNA-seq reads from differential expression experiments while incorporating biological replicates and variability.
- Isoform-Level Differential Expression: Supports simulation of isoform-level differential expression to model transcript-specific regulation.
- Flexible Experimental Designs: Allows specification of diverse experimental designs and differential expression parameters.
- Realistic Data Approximation: Produces simulated datasets that closely approximate real RNA-seq data so standard differential expression workflows can recover user-defined changes.
Scientific Applications:
- Method development and validation: Benchmarking and validation of statistical methods for RNA-seq differential expression analysis.
- Testing without spike-ins: Generating realistic datasets for method testing without requiring spike-in experiments.
- Controlled evaluations: Creating controlled simulation scenarios to assess accuracy and error rates when true differential expression status is unknown.
Methodology:
Generates RNA-seq reads from user-specified experimental designs and differential expression parameters to produce simulated reads reflecting isoform-level changes across replicates.
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:
- 11/25/2024
Operations
Publications
Frazee AC, Jaffe AE, Langmead B, Leek JT. <i>Polyester</i> : simulating RNA-seq datasets with differential transcript expression. Bioinformatics. 2015;31(17):2778-2784. doi:10.1093/bioinformatics/btv272. PMID:25926345. PMCID:PMC4635655.