4.5 Article Proceedings Paper

GENT2: an updated gene expression database for normal and tumor tissues

期刊

BMC MEDICAL GENOMICS
卷 12, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12920-019-0514-7

关键词

Tissue and cell line wide gene expression profiling; Cancer subtype profiling; Survival analysis; Meta-survival analysis; Large scale microarray web-database

资金

  1. National Research Foundation of Korea [NRF 2017MBA9B5060884, NRF 2014M3C9A3068554]
  2. KRIBB Research Initiative Program
  3. National Research Council of Science & Technology (NST), Republic of Korea [KGM5191911] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  4. National Research Foundation of Korea [2014M3C9A3068554] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

BackgroundGene Expression database of Normal and Tumor tissues 2 (GENT2) is an updated version of GENT, which has provided a user-friendly search platform for gene expression patterns across different normal and tumor tissues compiled from public gene expression data sets.ResultsWe refactored GENT2 with recent technologies such as Apache Lucene indexing for fast search and Google Web Toolkit (GWT) framework for a user-friendly web interface. Now, GENT2 contains more than 68,000 samples and has several new useful functions. First, GENT2 now provides gene expression across 72 different tissues compared to 57 in GENT. Second, with increasing importance of tumor subtypes, GENT2 provides an option to study the differential expression and its prognostic significance based on tumor subtypes. Third, whenever available, GENT2 provides prognostic information of a gene of interest. Fourth, GENT2 provides a meta-analysis of survival information to provide users more reliable prognostic value of a gene of interest.ConclusionsIn conclusion, with these significant improvements, GENT2 will continue to be a useful tool to a wide range of researchers. GENT2 is freely available at http://gent2.appex.kr.

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