title: From biological databases to platforms for biomedical discovery.
abstract: The use of high-throughput DNA sequencing and proteomic methods has led to an unprecedented increase in the amount of genomic and proteomic data. Application of computing technologies and development of computational tools to analyze and present these data has not kept pace with the accumulation of information. Here, we discuss the use of different database systems to store biological information and mention some of the key emerging computing technologies that are likely to have a key role in the future of bioinformatics.
authors.affiliation: McKusick-Nathans Institute of Genetic Medicine and Dept. of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21287, USA.
authors.forename: J Daniel
authors.initials: JD
authors.lastname: Navarro
authors.forename: Vidya
authors.initials: V
authors.lastname: Niranjan
authors.forename: Suraj
authors.initials: S
authors.lastname: Peri
authors.forename: Chandra Kiran
authors.initials: CK
authors.lastname: Jonnalagadda
authors.forename: Akhilesh
authors.initials: A
authors.lastname: Pandey
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods; D019295:Computational Biology / Q000379:methods; D003628:Database Management Systems; D016208:Databases, Factual; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D004282:Documentation; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet