Search
Button for mobile navigation
Join us

Supported Applications

RSeQC

  • Description

    (RNA-seq Quality Control Package) provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data.

  • Usage

    To list all executables provided by RSeQC, run: $ biogrids-list rseqc Copy to clipboard

  • Usage Notes

    RSeQC provides the following executable python scripts. These may be called directly from the command line. You may generate this list with the biogrids-list command also: biogrids-list rseqc

    FPKM-UQ.py

    FPKM_count.py

    RNA_fragment_size.py

    RPKM_saturation.py

    bam2fq.py

    bam2wig.py

    bam_stat.py

    clipping_profile.py

    deletion_profile.py

    divide_bam.py

    geneBody_coverage.py

    geneBody_coverage2.py

    infer_experiment.py

    inner_distance.py

    insertion_profile.py

    junction_annotation.py

    junction_saturation.py

    mismatch_profile.py

    normalize_bigwig.py

    overlay_bigwig.py

    read_GC.py

    read_NVC.py

    read_distribution.py

    read_duplication.py

    read_hexamer.py

    read_quality.py

    split_bam.py

    split_paired_bam.py tin.py

  • Installation

    Use the following command to install this title with the CLI client: $ biogrids-cli install rseqc Copy to clipboard Available operating systems: Linux 64, OS X INTEL

  • Primary Citation*

    L. Wang, S. Wang, and W. Li. 2012. RSeQC: quality control of RNA-seq experiments. Bioinformatics. 28(16): 2184-2185.


    • *Full citation information available through

Scroll