title: e-Science: relieving bottlenecks in large-scale genome analyses.
abstract: The development of affordable, high-throughput sequencing technology has led to a flood of publicly available bacterial genome-sequence data. The availability of multiple genome sequences presents both an opportunity and a challenge for microbiologists, and new computational approaches are needed to extract the knowledge that is required to address specific biological problems and to analyse genomic data. The field of e-Science is maturing, and Grid-based technologies can help address this challenge.
authors.affiliation: Tracy Craddock, Jennifer Hallinan and Anil Wipat are at the School of Computing Science, Claremont Tower, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
authors.forename: Tracy
authors.initials: T
authors.lastname: Craddock
authors.forename: Colin R
authors.initials: CR
authors.lastname: Harwood
authors.forename: Jennifer
authors.initials: J
authors.lastname: Hallinan
authors.forename: Anil
authors.initials: A
authors.lastname: Wipat
mesh_terms: D001407:Bacillus / Q000235:genetics; D001426:Bacterial Proteins / Q000235:genetics; D019295:Computational Biology; D030541:Databases, Genetic; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods* / Q000639:trends; D020407:Internet; D017150:Public Sector
chemical_list: D001426:Bacterial Proteins