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

By Yingyao Zhou, Bin Zhou, L. Pache, M. Chang, Alireza Hadj Khodabakhshi, Olga Tanaseichuk, C. Benner, S. Chanda. Nature Communications, 2019

12,233 citations recorded by the source corpus.

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. With the increasing obtainability of multi-OMICs data comes the need for easy to use data analysis tools. Here, the authors introduce Metascape, a biologist-oriented portal that provides a gene list annotation, enrichment and interactome resource and enables integrated analysis of multi-OMICs datasets.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/917dd30b5fbc8a26fe7922a17d1e1b1fe2d30494

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In Molecular Biology

1. Lei Kong
2. Yi Zhao

Citations in the corpus

• Using clusterProfiler to characterize multiomics data (2024, critical): “Tools such as GOstats 33 , gprofiler2 34 , DAVID 35 , Enrichr 30 and Metascape 36 only support the ORA algorithm and cannot handle gene ranking lists without specific thresholds.”
• KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis (2021, background): “Therefore, several tools have provided downstream visualization of these enriched terms, including WebGestalt (29), Metascape (30), Enrichment map (31), WEGO (32) and GOPlot (33), in selecting and understanding the enriched results.”