Bibliography of: Computer Graphics

  1. Kanehisa, M., Goto, S., Kawashima, S., and Nakaya, A.. "The KEGG databases at GenomeNet." Nucleic Acids Res. 30 (1). 2002. pp. 42-6.
    [ .pdf ] [ PubMed ]

    The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order functional meanings and utilities of the cell or the organism from its genome information. KEGG consists of the PATHWAY database for the computerized knowledge on molecular interaction networks such as pathways and complexes, the GENES database for the information about genes and proteins generated by genome sequencing projects, and the LIGAND database for the information about chemical compounds and chemical reactions that are relevant to cellular processes. In addition to these three main databases, limited amounts of experimental data for microarray gene expression profiles and yeast two-hybrid systems are stored in the EXPRESSION and BRITE databases, respectively. Furthermore, a new database, named SSDB, is available for exploring the universe of all protein coding genes in the complete genomes and for identifying functional links and ortholog groups. The data objects in the KEGG databases are all represented as graphs and various computational methods are developed to detect graph features that can be related to biological functions. For example, the correlated clusters are graph similarities which can be used to predict a set of genes coding for a pathway or a complex, as summarized in the ortholog group tables, and the cliques in the SSDB graph are used to annotate genes. The KEGG databases are updated daily and made freely available (http://www.genome.ad.jp/kegg/).

    Keywords: Computational Biology ; Computer Graphics ; *Databases Genetic ; *Databases Protein ; Gene Expression Profiling ; *Genome ; Human ; Information Storage and Retrieval ; Internet ; Macromolecular Systems ; Metabolism_genetics ; Multigene Family ; Protein Conformation ; Proteins_chemistry ; Proteins_genetics ; Proteins_metabolism ; Sequence Homology


  2. Karp, P.D. and Paley, S.M.. "Integrated access to metabolic and genomic data." J Comput Biol. 3 (1). 1996. pp. 191-212.
    [ .pdf ] [ .ps ] [ PubMed ]

    The EcoCyc system consists of a knowledge base (KB) that describes the genes and intermediary metabolism of Escherichia coli, and a graphical user interface (GUI) for accessing that knowledge. This paper addresses two problems: How can we create a GUI that provides integrated access to metabolic and genomic data? We describe the design and implementation of visual presentations that closely mimic those found in the biology literature, and that offer hypertext navigation among related entities, and multiple views of the same entity. We employ a frame knowledge representation system (FRS) called HyperTHEO to manage the EcoCyc knowledge base. Among the advantages of FRSs are an expressive data model for capturing the complexities of biological information, and schema-evolution capabilities that facilitate the constant schema changes that biological databases tend to undergo. HyperTHEO also includes rule-based inference facilities that are the foundation of expert systems, a constraint language for maintaining data integrity, and a declarative query language. A graphic KB editor and browser allow the EcoCyc developers to interactively inspect and modify this evolving KB.

    Keywords: *Artificial Intelligence ; Computer Communication Networks ; Computer Graphics ; Computers ; *Database Management Systems ; Escherichia coli_*genetics ; Escherichia coli_*metabolism ; *Genome ; Bacterial ; Programming Languages ; Systems Integration ; User-Computer Interface


  3. Karp, P.D., Riley, M., Paley, S.M., Pellegrini-Toole, A., and Krummenacker, M.. "EcoCyc: Encyclopedia of Escherichia coli genes and metabolism." Nucleic Acids Res. 26 (1). 1998. pp. 50-3.
    [ .pdf ] [ PubMed ]

    The encyclopedia of Escherichia coli genes and metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of E.coli. The database describes 3030 genes of E.coli , 695 enzymes encoded by a subset of these genes, 595 metabolic reactions that occur in E.coli, and the organization of these reactions into 123 metabolic pathways. The EcoCyc graphical user interface allows scientists to query and explore the EcoCyc database using visualization tools such as genomic-map browsers and automatic layouts of metabolic pathways. EcoCyc can be thought of as an electronic review article because of its copious references to the primary literature, and as a (qualitative) computational model of E.coli metabolism. EcoCyc is available at URL http://ecocyc.PangeaSystems.com/ecocyc/

    Keywords: Computer Graphics ; *Databases Factual_trends ; Encyclopedias ; Escherichia coli_*genetics ; Escherichia coli_*metabolism ; *Genes Bacterial ; User-Computer Interface