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.

Documentation

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