E. Uberbacher, David Thomassen, A. Patrinos, Gary Johnson, C. Oliver, M. Frazier
{"title":"Computing for the DOE genomes to life program","authors":"E. Uberbacher, David Thomassen, A. Patrinos, Gary Johnson, C. Oliver, M. Frazier","doi":"10.1109/CSB.2003.1227298","DOIUrl":null,"url":null,"abstract":"A key goal of the DOE office of science's systems biology program, genomes to life (GTL), is to achieve, over the next 10 to 20 years, a basic understanding of thousands of environmental microbes and microbial systems in their native environments. This goal demands that we develop new models for scientific discovery that integrate methods and systems which tightly couple advanced computing, mathematics, algorithms, and data-management technologies with large-scale experimental data generation.","PeriodicalId":147883,"journal":{"name":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSB.2003.1227298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A key goal of the DOE office of science's systems biology program, genomes to life (GTL), is to achieve, over the next 10 to 20 years, a basic understanding of thousands of environmental microbes and microbial systems in their native environments. This goal demands that we develop new models for scientific discovery that integrate methods and systems which tightly couple advanced computing, mathematics, algorithms, and data-management technologies with large-scale experimental data generation.