title: dbCerEx: a web-based database for the analysis of cervical cancer transcriptomes.
abstract: BACKGROUND
  Cervical cancers are ranked the second-most hazardous ailments among women worldwide. In the past two decades, microarray technologies have been applied to study genes involved in malignancy progress. However, in most of the published microarray studies, only a few genes were reported leaving rather a large amount of data unused. Also, RNA-Seq data has become more standard for transcriptome analysis and is widely applied in cancer studies. There is a growing demand for a tool to help the experimental researchers who are keen to explore cervical cancer gene therapy, but lack computer expertise to access and analyze the high throughput gene expression data.
  
  
  METHODS
  The dbCerEx database is designed to retrieve and process gene expression data from cervical cancer samples. It includes the genome wide expression profiles of cervical cancer samples, as well as a web utility to cluster genes with similar expression patterns. This feature will help researchers conduct further research to uncover novel gene functions.
  
  
  CONCLUSIONS
  The dbCerEx database is freely available for non-commercial use at http://128.135.207.10/dbCerEx/, and will be updated and integrated with more features as needed.
authors.affiliation: Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
authors.forename: Limin
authors.initials: L
authors.lastname: Zhou
authors.affiliation: Yichang Humanwell Pharmaceutical Co.,Ltd, Yichang, Hubei, P.R. China.
authors.forename: Wei
authors.initials: W
authors.lastname: Zheng
authors.affiliation: College of Life Sciences, Wuhan University, Wuhan, P.R. China.
authors.forename: Majing
authors.initials: M
authors.lastname: Luo
authors.affiliation: International school of software, Wuhan University, Wuhan, P.R. China.
authors.forename: Jing
authors.initials: J
authors.lastname: Feng
authors.affiliation: Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
authors.forename: Zhichun
authors.initials: Z
authors.lastname: Jin
authors.affiliation: Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
authors.forename: Dunlan
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Hubei Maternal and Child Health Hospital, Wuhan, Hubei, P.R. China.
authors.forename: Qiongxiu
authors.initials: Q
authors.lastname: Tang
authors.affiliation: College of Fisheries, Huazhong Agricultural University, Wuhan, P.R. China.
authors.forename: Yan
authors.initials: Y
authors.lastname: He
mesh_terms: D016208:Databases, Factual; D005260:Female; D015870:Gene Expression / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D020407:Internet; D059467:Transcriptome / Q000235:genetics*; D002583:Uterine Cervical Neoplasms / Q000235:genetics*