title: Visual annotation of the gene database.
abstract: The genes in NCBI databases are currently annotated with itemized text (Gene Reference Into Function, or GeneRIF). A previous work suggests that the visual presentation can be more effective when time and space are under heavy constraints. Here we report a novel annotation of the genome information using Web 2.0 technologies: GeneGIF (Gene Graphics Into Function). The users can quickly scan through important functions of each gene from a graph, and then go to detailed pages when they find interesting annotations. The modular implementation makes it easily pluggable into other widely used databases without reprogramming. Similar approaches are being developed to incorporate information to other types of genomics and proteomics databases.
authors: Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
authors: Jing
authors: J
authors: Wen
authors: Xishu
authors: X
authors: Wang
authors: Warren
authors: W
authors: Kibbe
authors: Simon
authors: S
authors: Lin
authors: Hui
authors: H
authors: Lu
mesh_terms: D019295:Computational Biology / Q000295:instrumentation / Q000379:methods*; D003196:Computer Graphics; D003628:Database Management Systems; D030541:Databases, Genetic; D016678:Genome; D023281:Genomics / Q000379:methods; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D009323:Natural Language Processing; D020543:Proteome; D040901:Proteomics / Q000379:methods; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled
chemical_list: D020543:Proteome