Recently certified
Basic Package Attributes
Title rlsim
Short Description A package for simulating RNA-seq library preparation with parameter estimation
Long Description The rlsim package is a collection of tools for simulating RNA-seq library construction, aiming to reproduce the most important factors which are known to introduce significant biases in the currently used protocols: hexamer priming, PCR amplification and size selection. It allows for a systematic exploration of the effects of the individual biasing factors and their interactions on downstream applications by simulating data under a variety of parameter sets. The implicit simulation model implemented in the main tool (rlsim) is inspired by the actual library preparation protocols and it is more general than the models used by the bias correction methods hence it allows for a fair assessment of their performance. Although the simulation model was kept as simple as possible in order to aid usability, it still has too many parameters to be inferred from data produced by standard RNA-seq experiments. However, simulating datasets with properties similar to specific datasets is often useful. To address this, the package provides a tool (effest) implementing simple approaches for estimating the parameters which can be recovered from standard RNA-seq data (GC-dependent amplification efficiencies, fragment size distribution, relative expression levels).
Version 1.0
Project Started 2013
Last Release 7 years, 3 months ago
Citations Botond Sipos, Greg Slodkowicz, Tim Massingham, Nick Goldman, Realistic simulations reveal extensive sample-specificity of RNA-seq biases, Quantitative Biology. Genomics, Aug. 14, 2013
GSR CertificationAccessibility
Last evaluatedMarch 12, 2020 (99 days ago)
Author verificationThe basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.
Propose changes to this simulator