Metascape provides a biologist-oriented resource for the analysis of systems-level datasets View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yingyao Zhou, Bin Zhou, Lars Pache, Max Chang, Alireza Hadj Khodabakhshi, Olga Tanaseichuk, Christopher Benner, Sumit K. Chanda

ABSTRACT

A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era. More... »

PAGES

1523

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-019-09234-6

    DOI

    http://dx.doi.org/10.1038/s41467-019-09234-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113182121

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30944313


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