GenomicAlignments

The "GenomicAlignments" tool, a vital component of the Bioconductor infrastructure, stands out for its unique ability to facilitate the representation and analysis of annotated genomic ranges. This tool seamlessly integrates with R's robust statistical computing capabilities, enhancing them for genomic data analysis. The backbone of this system is formed by three essential packages: IRanges, GenomicRanges, and GenomicFeatures. These packages provide scalable solutions for managing annotated genomic intervals, including features such as transcript structures, read alignments, and coverage vectors, making them indispensable for a wide range of genomic data analyses.

The GenomicAlignments tool offers powerful computational tools for various genomic operations. It supports efficient algorithms for identifying overlaps, finding nearest neighbors, calculating coverage, and performing other essential range-based tasks. These capabilities are not just theoretical but are fundamental for conducting comprehensive analyses, including sequence analysis, differential expression studies, and data visualization, making a tangible impact on your research.

The GenomicAlignments tool, serving as the backbone for over 80 other Bioconductor packages, is a testament to the collaborative nature of the bioinformatics community. This infrastructure, exemplified by GenomicAlignments, is a pivotal resource that enables researchers to process and analyze genomic data efficiently.

Topic

Sequence analysis

Detail

  • Operation: Nucleic acid sequence analysis;RNA-seq read count analysis;Read depth analysis

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: Artistic License 2.0

  • Cost: Free

  • Version name: 1.38.2

  • Credit: National Institutes of Health, National Human Genome Research Group, National Heart, Lung and Blood Institute

  • Input: Sequence alignment (nucleic acid) [BAM] [SAM] [GTF], Feature table [BAM] [SAM] [GTF]

  • Output: Sequence alignment report [Textual format] [Alignment format], Sequence alignment (nucleic acid) [Textual format] [Alignment format]

  • Contact: Hervé Pagès hpages.on.github@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

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Download and documentation


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