YETI: Yeast
Exploration Tool Integrator.
Richard J. Orton (1), William I. Sellers (2), Dietlind L. Gerloff (1)
(1) ICMB, University of Edinburgh, Kings Buildings, Edinburgh, EH9 3JR, UK
(orton@bch.ed.ac.uk); (2) Department of Human Sciences, University of
Loughborough, Loughborough, LE11 3TU, UK
The Yeast Exploration Tool Integrator (YETI) is a novel bioinformatics tool for the integrated visualization and analysis of S. cerevisiae functional genomic data sets. YETI consists of a relational database for the storage and management of data and a standalone Java program for visualization and analysis. One of YETI's strengths is that its user-friendliness towards wet-laboratory biologist users is combined with a solid database structure enabling bioinformaticians to carry out collective analyses of the data sets at the desired levels of detail, as well as considerations of continuance, platform transferability, and expandability. The prototype version consists of three sections: (1) A Genome Section for the informative display of the S. cerevisiae genome, its chromosomes and data on all its genes; (2) A Proteome Section for the effective visualization of potential protein-protein interactions as inferred from yeast two-hybrid screens; and (3) An Analysis Section for database searching using complex queries. All sections are fully inter-linked and provide access to textual information including Gene Ontology annotations at any point. Two further sections are currently in development: (1) A Transcriptome Section for the visualization and analysis of gene expression microarray data; and (2) A Cell Section for a sub-cellular structural context and access to metabolic pathways. YETI is a web based tool available at http://www.bru.ed.ac.uk/cgi-richard/web.pl?menu=yeti&page=yeti