Published November 20, 2023 | Version SQANTI-SIM v0.2.0
Dataset Open

SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark

  • 1. ROR icon Institute for Integrative Systems Biology
  • 2. ROR icon Universitat Politècnica de València

Contributors

Contact person:

  • 1. ROR icon Institute for Integrative Systems Biology

Description

In this repository, we present the PacBio and ONT simulated datasets used for benchmarking transcriptome reconstruction tools, as evaluated in the manuscript titled "SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark". The dataset includes simulated long reads, short reads, CAGE peaks, and a reduced reference annotation. Additionally, we have included reconstructed transcriptomes from each method, along with SQANTI3 output files. The SQANTI-SIM software can be accessed on GitHub at the following URL: https://github.com/ConesaLab/SQANTI-SIM.

Notes

- Please ensure to cite the original publication (listed below) when using these datasets.

Files

SQANTI-SIM_020_source_code.zip

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Additional details

Related works

References

  • Mestre-Tomás, J., Liu, T., Pardo-Palacios, F., & Conesa, A. (2023). SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark. bioRxiv, 2023-08.