- recipe rastqc
Fast Rust-based quality control for high-throughput sequencing data
- Homepage:
- Documentation:
- License:
MIT / MIT
- Recipe:
RastQC is a drop-in replacement for FastQC written in Rust. It implements all 12 FastQC modules with matching algorithms and output formats (HTML, fastqc_data.txt, ZIP, native MultiQC JSON). The streaming parallel pipeline runs 2-3x faster than FastQC on real sequencing data. For Oxford Nanopore data (Fast5 + POD5 readers and long-read modules), install the sibling package `rastqc-nanopore`.
- package rastqc¶
- Versions:
0.1.0-0- Depends:
on __osx
>=11.0
- Additional platforms:
linux-aarch64,osx-arm64
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install rastqc
to add into an existing workspace instead, run:
pixi add rastqc
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install rastqc
Alternatively, to install into a new environment, run:
conda create -n envname rastqc
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/rastqc:<tag>
(see rastqc/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/rastqc/README.html)
