GS-Preprocess
GS-Preprocess prepares input data for the Bioconductor GUIDEseq package by automating FASTQ demultiplexing, adapter trimming, read alignment, and UMI reference construction to enable genome-wide off-target profiling of RNA-guided nucleases such as CRISPR-Cas.
Key Features:
- Containerized distribution: Packaged as an open-source container to provide reproducible execution environments.
- Illumina BCL compatibility: Processes standard raw BCL output from Illumina sequencers.
- GUIDEseq input generation: Produces the required GUIDEseq inputs, including a 2-line guideRNA FASTA, demultiplexed "plus" and "minus" strand BAM files, and UMI references for each read.
- Single-command pipeline: Runs as a one-line pipeline that accepts six arguments to generate GUIDEseq input files.
- Automated data processing: Implements FASTQ demultiplexing, adapter trimming, alignment to a reference genome, and UMI reference construction.
Scientific Applications:
- GUIDE-seq data preparation: Prepares formatted inputs for Bioconductor GUIDEseq analyses of OFF-target events.
- Genome-wide off-target profiling: Enables identification and quantification of off-target cleavage events for RNA-guided nucleases including CRISPR-Cas systems.
- Nuclease specificity validation: Supports assessment of nuclease specificity to inform safety and efficacy evaluations in gene-editing therapeutics.
Methodology:
Performs FASTQ demultiplexing, adapter trimming, alignment to a reference genome, UMI reference construction, and outputs demultiplexed plus/minus-strand BAM files and GUIDEseq input files from Illumina BCL or FASTQ inputs.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- C, Shell, Python, R
- Added:
- 1/18/2021
- Last Updated:
- 1/25/2021
Operations
Publications
Rodríguez TC, Pratt HE, Liu P, Amrani N, Zhu LJ. GS-Preprocess: Containerized GUIDE-seq Data Analysis Tools with Diverse Sequencer Compatibility. Unknown Journal. 2020. doi:10.1101/2020.01.26.914861.
Downloads
- Container filehttps://hub.docker.com/r/umasstr/gsp
Links
Repository
https://github.com/umasstr/gs-preprocess