FlyNet: a versatile network prioritization server for the Drosophila community

نویسندگان

  • Junha Shin
  • Sunmo Yang
  • Eiru Kim
  • Chan Yeong Kim
  • Hongseok Shim
  • A-Ra Cho
  • Hyojin Kim
  • Sohyun Hwang
  • Jung Eun Shim
  • Insuk Lee
چکیده

Drosophila melanogaster (fruit fly) has been a popular model organism in animal genetics due to the high accessibility of reverse-genetics tools. In addition, the close relationship between the Drosophila and human genomes rationalizes the use of Drosophila as an invertebrate model for human neurobiology and disease research. A platform technology for predicting candidate genes or functions would further enhance the usefulness of this long-established model organism for gene-to-phenotype mapping. Recently, the power of network prioritization for gene-to-phenotype mapping has been demonstrated in many organisms. Here we present a network prioritization server dedicated to Drosophila that covers ∼95% of the coding genome. This server, dubbed FlyNet, has several distinctive features, including (i) prioritization for both genes and functions; (ii) two complementary network algorithms: direct neighborhood and network diffusion; (iii) spatiotemporal-specific networks as an additional prioritization strategy for traits associated with a specific developmental stage or tissue and (iv) prioritization for human disease genes. FlyNet is expected to serve as a versatile hypothesis-generation platform for genes and functions in the study of basic animal genetics, developmental biology and human disease. FlyNet is available for free at http://www.inetbio.org/flynet.

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عنوان ژورنال:

دوره 43  شماره 

صفحات  -

تاریخ انتشار 2015