FlyNet: a versatile network prioritization server for theDrosophilacommunity
Author(s) -
Junha Shin,
Sunmo Yang,
Eiru Kim,
Chan Yeong Kim,
Hongseok Shim,
Ara Cho,
Hyojin Kim,
Sohyun Hwang,
Jung Eun Shim,
Insuk Lee
Publication year - 2015
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkv453
Subject(s) - biology , drosophila melanogaster , model organism , prioritization , organism , computational biology , genome , gene , genetics , drosophila (subgenus) , phenotype , reverse genetics , human genome , melanogaster , genome wide association study , single nucleotide polymorphism , management science , genotype , economics
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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