Published August 5, 2022 | Version 1
Dataset Open

Data for manuscript "rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data"

  • 1. Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA. Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • 2. Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • 3. Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • 4. Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
  • 5. Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.

Description

Output files generated by rMATS-turbo for the two example datasets described in the manuscript titled "rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data".

File Description Cell lines BioProject
PC3E-GS689.tar.gz Compressed folder containing all 36 rMATS-turbo output files for Example 1 described in the manuscript PC3E and GS689 cell lines PRJNA438990
CCLE.tar.gz Compressed folder containing all 36 rMATS-turbo output files for Example 2 described in the manuscript 1,019 CCLE human cancer cell lines PRJNA523380

A detailed description of the output files is available in the manuscript and the rMATS-turbo software GitHub repository (https://github.com/Xinglab/rmats-turbo).

Files

Files (7.8 GB)

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md5:76ae58f93274f6cf696589f9ec924560
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md5:910daeef45650dae9a25fa06dd29441c
119.6 MB Download