title: Graphically-enabled integration of bioinformatics tools allowing parallel execution.
abstract: Rapid analysis of large amounts of genomic data is of great biological as well as medical interest. This type of analysis will greatly benefit from the ability to rapidly assemble a set of related analysis programs and to exploit the power of parallel computing. TurboGenomics, which is a software package currently in its alpha-testing phase, allows integration of heterogeneous software components to be done graphically. In addition, the tool is capable of making the integrated components run in parallel. To demonstrate these abilities, we use the tool to develop a Web-based application that allows integrated access to a set of large-scale sequence data analysis programs used by a transposon-insertion based yeast genome project. We also contrast the differences in building such an application with and without using the TurboGenomics software.
authors.affiliation: Center for Medical Informatics, Yale University, New Haven, CT, USA.
authors.forename: K H
authors.initials: KH
authors.lastname: Cheung
authors.forename: P
authors.initials: P
authors.lastname: Miller
authors.forename: A
authors.initials: A
authors.lastname: Sherman
authors.forename: S
authors.initials: S
authors.lastname: Weston
authors.forename: E
authors.initials: E
authors.lastname: Stratmann
authors.forename: M
authors.initials: M
authors.lastname: Schultz
authors.forename: M
authors.initials: M
authors.lastname: Snyder
authors.forename: A
authors.initials: A
authors.lastname: Kumar
mesh_terms: D019295:Computational Biology; D003196:Computer Graphics; D003205:Computing Methodologies; D016678:Genome; D023281:Genomics; D020407:Internet; D017422:Sequence Analysis, DNA; D012984:Software; D018511:Systems Integration; D015003:Yeasts / Q000235:genetics