RASflow
RASflow implements a Snakemake-based RNA-Seq analysis workflow for preprocessing reads, aligning them to genomic or transcriptomic assemblies, and quantifying gene and transcript expression.
Key Features:
- Modular and Flexible Design: Uses Snakemake as the workflow management system to provide a modular structure that permits customization of analysis pipelines.
- Conda-based Dependency Management: Uses Conda for package management and dependency resolution to support reproducible software environments.
- Support for Genomic and Transcriptomic Assemblies: Supports alignment to both genomic and transcriptomic reference assemblies.
- Read Preprocessing: Performs preprocessing of RNA-Seq reads.
- Read Alignment: Aligns reads to reference assemblies.
- Expression Quantification: Quantifies gene and transcript expression levels across samples.
- Reproducibility: Ensures reproducibility through Snakemake workflow execution and Conda-managed environments.
Scientific Applications:
- Gene Expression Quantification: Enables quantification of gene and transcript expression from RNA-Seq data.
- Regulatory and Expression Pattern Studies: Supports analyses aimed at investigating gene regulation and expression patterns, including complex regulatory studies.
- Analyses Across Model and Non-model Organisms: Applicable to studies using model organisms and non-model species via support for genomic or transcriptomic assemblies.
Methodology:
Preprocessing of RNA-Seq reads, alignment to genomic or transcriptomic reference assemblies, and quantification of gene or transcript expression levels across samples; Snakemake orchestrates workflow execution and Conda manages software dependencies.
Topics
Details
- License:
- MIT
- Added:
- 1/14/2020
- Last Updated:
- 6/8/2022
Operations
Publications
Zhang X, Jonassen I. RASflow: An RNA-Seq Analysis Workflow with Snakemake. Unknown Journal. 2019. doi:10.1101/839191.
DOI: 10.1101/839191