title: GE-mini: a mobile APP for large-scale gene expression visualization.
abstract: The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) projects produced large-scale RNA sequencing data, which provides an opportunity for performing integrated expression analysis for all genes across tens of thousands of tumor and normal tissue specimens. Rapid access to and easy visualization of such valuable data could facilitate research in a wide biological area. Here, we present the GE-mini APP for smart phones, a mobile visualization tool for integrated gene expression data based on both TCGA and GTEx. This gene-centric expression viewer provides a convenient method for displaying expression profiles of all available tumor and tissue types, while allowing drilling down to detailed views for specific tissue types.
  
  
  
  Both the iOS and Android APPs are freely available to all non-commercial users in App Store and Google Play. The QR codes of App store and Google play are also provided for scanning and download. The GE-mini web server is also available at http://gemini.cancer-pku.cn/ .
  
  
  
  tangzefang@pku.edu.cn or huxueda@pku.edu.cn.
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: College of Life Sciences and BIOPIC, Peking University, Beijing, China.
authors.forename: Zefang
authors.initials: Z
authors.lastname: Tang
authors.affiliation: College of Life Sciences and BIOPIC, Peking University, Beijing, China.
authors.forename: Chenwei
authors.initials: C
authors.lastname: Li
authors.affiliation: College of Life Sciences and BIOPIC, Peking University, Beijing, China.
authors.forename: Karena
authors.initials: K
authors.lastname: Zhang
authors.affiliation: College of Life Sciences and BIOPIC, Peking University, Beijing, China.
authors.forename: Mingyu
authors.initials: M
authors.lastname: Yang
authors.affiliation: College of Life Sciences and BIOPIC, Peking University, Beijing, China.
authors.forename: Xueda
authors.initials: X
authors.lastname: Hu
mesh_terms: D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D063731:Mobile Applications; D009369:Neoplasms / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods