title: The filamentous fungal gene expression database (FFGED).
abstract: Filamentous fungal gene expression assays provide essential information for understanding systemic cellular regulation. To aid research on fungal gene expression, we constructed a novel, comprehensive, free database, the filamentous fungal gene expression database (FFGED), available at http://bioinfo.townsend.yale.edu. FFGED features user-friendly management of gene expression data, which are assorted into experimental metadata, experimental design, raw data, normalized details, and analysis results. Data may be submitted in the process of an experiment, and any user can submit multiple experiments, thus classifying the FFGED as an "active experiment" database. Most importantly, FFGED functions as a collective and collaborative platform, by connecting each experiment with similar related experiments made public by other users, maximizing data sharing among different users, and correlating diverse gene expression levels under multiple experimental designs within different experiments. A clear and efficient web interface is provided with enhancement by AJAX (Asynchronous JavaScript and XML) and through a collection of tools to effectively facilitate data submission, sharing, retrieval and visualization.
authors.affiliation: Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06520, USA. Zhang.Zhang@Yale.edu
authors.forename: Zhang
authors.initials: Z
authors.lastname: Zhang
authors.forename: Jeffrey P
authors.initials: JP
authors.lastname: Townsend
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods; D003196:Computer Graphics; D003628:Database Management Systems; D030541:Databases, Genetic; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D015966:Gene Expression Regulation, Fungal; D005800:Genes, Fungal; D016681:Genome, Fungal; D020407:Internet; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D012441:Saccharomyces cerevisiae / Q000235:genetics; D016415:Sequence Alignment; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface