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---
name: RSeQC
url: http://rseqc.sourceforge.net/
description: >
RSeQC is a package that provides a number of useful modules that can
comprehensively evaluate high throughput RNA-seq data.
---
The RSeQC module parses results generated by
[RSeQC](http://rseqc.sourceforge.net/),
a package that provides a number of useful modules that can
comprehensively evaluate high throughput RNA-seq data.
Supported scripts:
- `bam_stat`
- `gene_body_coverage`
- `infer_experiment`
- `inner_distance`
- `junction_annotation`
- `junction_saturation`
- `read_distribution`
- `read_duplication`
- `read_gc`
- `tin`
You can choose to hide sections of RSeQC output and customise their order.
To do this, add and customise the following to your MultiQC config file:
```yaml
rseqc_sections:
- read_distribution
- tin
- gene_body_coverage
- inner_distance
- read_gc
- read_duplication
- junction_annotation
- junction_saturation
- infer_experiment
- bam_stat
```
Change the order to rearrage sections or remove to hide them from the report.
Note that some scripts (for example, `junction_annotation.py`) produce the results used by MultiQC as standard-error.
To use with MultiQC, make sure that you redirect this to a file using `2> mysample.log`.
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