title: Bioinformatics tools for whole genomes.
abstract: The advent of whole-genome data resources--not only sequence but also other genome-scale data collections such as gene expression, protein interaction, and genetic variation--is having two marked, complementary effects on the relatively new discipline of bioinformatics. First, the veritable flood of data is creating a need and demand for new tools for dealing adequately with the deluge, and, second, the unprecedented extent, diversity, and impending completeness of the data sets are creating opportunities for new approaches to discovery based on computational methods.
authors.affiliation: Bioinformatics Department, SmithKline Beecham Pharmaceuticals, King of Prussia, Pennsylvania 19406, USA. David_B_Searls@sbphrd.com
authors.forename: D B
authors.initials: DB
authors.lastname: Searls
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology; D030541:Databases, Genetic; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D014644:Genetic Variation; D016678:Genome; D023281:Genomics / Q000706:statistics & numerical data*; D006801:Humans; D020407:Internet; D008957:Models, Genetic; D016415:Sequence Alignment / Q000706:statistics & numerical data; D014584:User-Computer Interface