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dc.contributor.authorWang, Yunjin
dc.contributor.authorWu, Nan
dc.contributor.authorLiu, Jiaqi
dc.contributor.authorWu, Zhihong
dc.contributor.authorDong, Dong
dc.date.accessioned2015-09-01T17:00:15Z
dc.date.available2015-09-01T17:00:15Z
dc.date.issued2015-07-28
dc.identifier.citationDiagnostic Pathology. 2015 Jul 28;10(1):131
dc.identifier.urihttp://dx.doi.org/10.1186/s13000-015-0310-4
dc.identifier.urihttp://hdl.handle.net/10724/31701
dc.description.abstractAbstract Background Fusion genes are chimeric results originated from previous separate genes with aberrant functions. The resulting protein products may lead to abnormal status of expression levels, functions and action sites, which in return may cause the abnormal proliferation of cells and cancer development. Results With the emergence of next-generation sequencing technology, RNA-seq has spurred gene fusion discovery in various cancer types. In this work, we compiled 591 recently published RNA-seq datasets in 15 kinds of human cancer, and the gene fusion events were comprehensively identified. Based on the results, a database was developed for gene fusion in cancers (FusionCancer), with the attempt to provide a user-friendly utility for the cancer research community. A flexible query engine has been developed for the acquisition of annotated information of cancer fusion genes, which would help users to determine the chimera events leading to functional changes. FusionCancer can be accessible at the following hyperlink website: http://donglab.ecnu.edu.cn/databases/FusionCancer/ Conclusion To the best of our knowledge, FusionCancer is the first comprehensive fusion gene database derived only from cancer RNA-seq data.
dc.titleFusionCancer: a database of cancer fusion genes derived from RNA-seq data
dc.typeJournal Article
dc.date.updated2015-07-29T18:16:43Z
dc.language.rfc3066en
dc.rights.holderWang et al.


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