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fraq

A High-Throughput and Extensible Toolkit for Processing FASTQ Data

Bioconductor version: 3.24 · Package version: 1.1.3

High-throughput extensible toolkit for processing FASTQ data. The goal of this package is to empower users to quickly build out small programmatic 'kernels' to define any FASTQ processing task they may need. Builds on Intel TBB’s flow graph to orchestrate concurrent I/O and data processing; throughput can be as fast as compression and disk speed allows. The package also ships with a suite of predefined kernels for common FASTQ tasks.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fraq")

Details

MaintainerTravers Ching <traversc@gmail.com>
AuthorTravers Ching [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-5577-3516>), Yann Collet [ctb, cph] (Author of the bundled zstd library), Facebook, Inc. [cph] (Copyright holder of the bundled zstd code), Reichardt Tino [ctb, cph] (Contributor/copyright holder of bundled zstd code), Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of bundled zstd code), Mori Yuta [ctb, cph] (Contributor/copyright holder of bundled zstd code)
LicenseGPL-3
URLhttps://github.com/traversc/fraq
Bug Reportshttps://github.com/traversc/fraq/issues
System RequirementsGNU make
Downloads rank164
Source branchdevel
biocViewsAlignment, DNASeq, Infrastructure, QualityControl, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagefraq_1.1.3.tar.gz
Windows binary (x86_64)fraq_1.1.3.zip
macOS binary (arm64)fraq_1.1.3.tgz
macOS binary (x86_64)fraq_1.1.3.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: Rcpp, Biostrings, RcppParallel (>= 6.1.1), edlibR, stringfish

LinkingTo: Rcpp, RcppParallel, edlibR

Suggests: knitr, rmarkdown, BiocStyle, processx, ShortRead