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Gastric Cancer Gene database GCGene


A literature-based database with comprehensive annotations supported by a user-friendly website. In the current release, we have collected 1,815 unique human genes including 1,678 protein-coding and 137 non-coding genes curated from extensive examination of 3,142 PubMed abstracts. The resulting database has a convenient web-based interface to facilitate both textual and sequence-based searches. All curated genes in GCGene are downloadable for advanced bioinformatics data mining. Gene prioritization was performed to rank the relative relevance of these genes in gastric cancer development.

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1 user review

Min Zhao's avatar image Min Zhao's country flag

Min Zhao

Genes with literature evidence, easy to download for bioinformatics analysis.

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GCGene classification

  • Animals
    • Homo sapiens

GCGene specifications

Restrictions to use:
Data access:
File download, Browse
Community driven:
User data submission:
Not allowed

GCGene support



  • Min Zhao <>


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School of Engineering, Faculty of Science, Health, Education and Engineering, University of The Sunshine Coast, Maroochydore DC, Queensland, Australia; Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China

Funding source(s)

This work was supported by the National Natural Science Foundation of China (No. 31171270) and a research start-up fellowship from the University of the Sunshine Coast.

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