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    LogoJS: a Javascript package for creating sequence logos and embedding them in web applications

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    Authors
    Pratt, Henry E.
    Weng, Zhiping
    UMass Chan Affiliations
    Program in Bioinformatics and Integrative Biology
    Document Type
    Journal Article
    Publication Date
    2020-03-17
    Keywords
    Bioinformatics
    Computational Biology
    Computer Sciences
    Integrative Biology
    
    Metadata
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    Link to Full Text
    https://doi.org/10.1093/bioinformatics/btaa192
    Abstract
    SUMMARY: Sequence logos were introduced nearly 30 years ago as a human-readable format for representing consensus sequences, and they remain widely used. As new experimental and computational techniques have developed, logos have been extended: extra symbols represent covalent modifications to nucleotides, logos with multiple letters at each position illustrate models with multi-nucleotide features, and symbols extending below the x-axis may represent a binding energy penalty for a residue or a negative weight output from a neural network. Web-based visualization tools for genomic data are increasingly taking advantage of modern web technology to offer dynamic, interactive figures to users, but support for sequence logos remains limited. Here we present LogoJS, a Javascript package for rendering customizable, interactive, vector-graphic sequence logos and embedding them in web applications. LogoJS supports all the aforementioned logo extensions and is bundled with a companion web application for creating and sharing logos. AVAILABILITY: LogoJS is implemented both in plain Javascript and ReactJS, a popular user-interface framework. The web application is hosted at logojs.wenglab.org. All major browsers and operating systems are supported. The package and application are open-source; code is available at GitHub. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
    Source

    Pratt H, Weng Z. LogoJS: a Javascript package for creating sequence logos and embedding them in web applications. Bioinformatics. 2020 Mar 17:btaa192. doi: 10.1093/bioinformatics/btaa192. Epub ahead of print. PMID: 32181813. Link to article on publisher's site

    DOI
    10.1093/bioinformatics/btaa192
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29452
    PubMed ID
    32181813
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    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1093/bioinformatics/btaa192
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    Program in Bioinformatics and Integrative Biology Publications

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