Package: sequencing
Title: Introduction to Bioconductor for Sequence Data
Version: 1.37.0
Date: 2017-10-18
Authors@R: c(person(role="aut", "Sonali", "Arora", email = "sarora@fredhutch.org"), person(role="aut", "Martin", "Morgan", email = "martin.morgan@roswellpark.org"), person(role="cre", "Bioconductor Package Maintainer", email = "maintainer@bioconductor.org"))
Description: Bioconductor enables the analysis and comprehension of
        high- throughput genomic data. We have a vast number of
        packages that allow rigorous statistical analysis of large data
        while keeping technological artifacts in mind. Bioconductor
        helps users place their analytic results into biological
        context, with rich opportunities for visualization.
        Reproducibility is an important goal in Bioconductor analyses.
        Different types of analysis can be carried out using
        Bioconductor, for example; Sequencing : RNASeq, ChIPSeq,
        variants, copy number etc.; Microarrays: expression, SNP, etc.;
        Domain specific analysis : Flow cytometry, Proteomics etc. For
        these analyses, one typically imports and works with diverse
        sequence-related file types, including fasta, fastq, BAM, gtf,
        bed, and wig files, among others. Bioconductor packages support
        import, common and advanced sequence manipulation operations
        such as trimming, transformation, and alignment including
        quality assessment.
Depends: R (>= 3.3.0), GenomicRanges, GenomicAlignments, Biostrings,
        Rsamtools, ShortRead, BiocParallel, rtracklayer,
        VariantAnnotation, AnnotationHub, BSgenome.Hsapiens.UCSC.hg19,
        RNAseqData.HNRNPC.bam.chr14
License: Artistic-2.0
Encoding: UTF-8
VignetteBuilder: knitr
biocViews: ImmunoOncologyWorkflow, Workflow, BasicWorkflow
Suggests: knitr, rmarkdown, BiocStyle
NeedsCompilation: no
URL: https://www.bioconductor.org/help/workflows/sequencing/
Config/pak/sysreqs: make libbz2-dev libicu-dev libjpeg-dev liblzma-dev
        libpng-dev libxml2-dev libssl-dev xz-utils zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:43:15 UTC
RemoteUrl: https://github.com/bioc/sequencing
RemoteRef: HEAD
RemoteSha: 730daa4d1df96dbd981866e663b1bf3e6089a867
Packaged: 2026-10-08 12:40:51 UTC; root
Author: Sonali Arora [aut],
  Martin Morgan [aut],
  Bioconductor Package Maintainer [cre]
Maintainer: Bioconductor Package Maintainer <maintainer@bioconductor.org>
Built: R 4.6.0; ; 2026-10-08 12:44:47 UTC; unix
