e-Science: relieving bottlenecks in large-scale genome analyses.
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.
Craddock
Tracy
T
Tracy Craddock, Jennifer Hallinan and Anil Wipat are at the School of Computing Science, Claremont Tower, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Harwood
Colin R
CR
Hallinan
Jennifer
J
Wipat
Anil
A
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
D001426:Bacterial Proteins