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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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AnnotateGenomicRegions: a web application.

Luca Zammataro, Rita DeMolfetta, Gabriele Bucci

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    |February 26, 2014
    PubMed
    Summary
    This summary is machine-generated.

    AnnotateGenomicRegions is a new, open-source web application simplifying genomic region annotation. This tool assists biologists and bioinformaticians in interpreting large genomic datasets without requiring extensive bioinformatics expertise.

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Modern genomic technologies generate vast amounts of data requiring mapping to specific genomic regions.
    • Interpreting genomic data necessitates annotating regions with known features like genes and promoters.
    • Existing annotation tools often demand significant bioinformatics skills or software installation.

    Purpose of the Study:

    • To present AnnotateGenomicRegions, a user-friendly web application for annotating genomic regions.
    • To provide an accessible tool for biologists and bioinformaticians to interpret genomic data.

    Main Methods:

    • Developed a web application accepting genomic regions as input.
    • Integrated support for multiple organisms and genome builds (human, mouse, zebrafish, yeast).
    • Enabled online accessibility and local installation, with options for embedded and custom annotations.

    Main Results:

    • AnnotateGenomicRegions provides overlapping and neighboring genome annotations for user-defined regions.
    • The application supports human (hg18, hg19), mouse (mm8, mm9, mm10), zebrafish (danRer7), and yeast (sacCer2, sacCer3).
    • Users can utilize embedded annotations or add custom ones, with options for online or local use.

    Conclusions:

    • AnnotateGenomicRegions addresses the need for a simple, accessible genomic region annotation tool.
    • The open-source web application is easily installable on personal computers or servers.
    • Facilitates genomic data interpretation for both biologists and bioinformaticians.