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

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dc.contributor.authorSeung Jin Park-
dc.contributor.authorByoungha Yoon-
dc.contributor.authorSeon-Kyu Kim-
dc.contributor.authorSeon-Young Kim-
dc.date.accessioned2019-10-28T16:30:10Z-
dc.date.available2019-10-28T16:30:10Z-
dc.date.issued2019-
dc.identifier.issn1755-8794-
dc.identifier.uri10.1186/s12920-019-0514-7ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/18881-
dc.description.abstractBACKGROUND: Gene 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. RESULTS: We 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. CONCLUSIONS: In 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 .-
dc.publisherSpringer-BMC-
dc.titleGENT2: an updated gene expression database for normal and tumor tissues-
dc.title.alternativeGENT2: an updated gene expression database for normal and tumor tissues-
dc.typeArticle-
dc.citation.titleBMC Medical Genomics-
dc.citation.numberS5-
dc.citation.endPage101-
dc.citation.startPage101-
dc.citation.volume12-
dc.contributor.affiliatedAuthorSeung Jin Park-
dc.contributor.affiliatedAuthorByoungha Yoon-
dc.contributor.affiliatedAuthorSeon-Kyu Kim-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName박승진-
dc.contributor.alternativeName윤병하-
dc.contributor.alternativeName김선규-
dc.contributor.alternativeName김선영-
dc.identifier.bibliographicCitationBMC Medical Genomics, vol. 12, no. S5, pp. 101-101-
dc.identifier.doi10.1186/s12920-019-0514-7-
dc.subject.keywordCancer subtype profiling-
dc.subject.keywordLarge scale microarray web-database-
dc.subject.keywordMeta-survival analysis-
dc.subject.keywordSurvival analysis-
dc.subject.keywordTissue and cell line wide gene expression profiling-
dc.subject.localCancer subtype profiling-
dc.subject.localLarge scale microarray web-database-
dc.subject.localMeta-survival analysis-
dc.subject.localSurvival analysis-
dc.subject.localTissue and cell line wide gene expression profiling-
dc.description.journalClassY-
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