Bibliography of: User-Computer Interface

  1. Baker, P.G., Brass, A., Bechhofer, S., Goble, C.A., Paton, N.W., and Stevens, R.. "TAMBIS--Transparent Access to Multiple Bioinformatics Information Sources." Proc Int Conf Intell Syst Mol Biol. vol. 6. 1998. pp. 25-34.
    [ .pdf ] [ .ps ] [ PubMed ] [ WebSite ]

    The TAMBIS project aims to provide transparent access to disparate biological databases and analysis tools, enabling users to utilize a wide range of resources with the minimum of effort. A prototype system has been developed that includes a knowledge base of biological terminology (the biological Concept Model), a model of the underlying data sources (the Source Model) and a 'knowledge-driven' user interface. Biological concepts are captured in the knowledge base using a description logic called GRAIL. The Concept Model provides the user with the concepts necessary to construct a wide range of multiple-source queries, and the user interface provides a flexible means of constructing and manipulating those queries. The Source Model provides a description of the underlying sources and mappings between terms used in the sources and terms in the biological Concept Model. The Concept Model and Source Model provide a level of indirection that shields the user from source details, providing a high level of source transparency. Source independent, declarative queries formed from terms in the Concept Model are transformed into a set of source dependent, executable procedures. Query formulation, translation and execution is demonstrated using a working example.

    Keywords: Artificial Intelligence ; *Computational Biology ; Databases Factual ; User-Computer Interface


  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., and Pellegrini-Toole, A.. "EcoCyc: an encyclopedia of Escherichia coli genes and metabolism." Nucleic Acids Res. 24 (1). 1996. pp. 32-9.
    [ .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. It describes 2034 genes, 306 enzymes encoded by these genes, 580 metabolic reactions that occur in E.coli and the organization of these reactions into 100 metabolic pathways. The EcoCyc graphical user interface allows query and exploration of the EcoCyc database using visualization tools such as genomic map browsers and automatic layouts of metabolic pathways. EcoCyc spans the space from sequence to function to allow investigation of an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article, because of its copious references to the primary literature, and as an in silico model of E.coli that can be probed and analyzed through computational means.

    Keywords: Computer Communication Networks ; *Databases Factual ; Enzymes_metabolism ; Escherichia coli_enzymology ; Escherichia coli_*genetics ; Escherichia coli_*metabolism ; *Genome ; Bacterial ; Information Storage and Retrieval ; Software ; User-Computer Interface


  4. Karp, P.D., Riley, M., Paley, S.M., Pellegrini-Toole, A., and Krummenacker, M.. "EcoCyc: Enyclopedia of Escherichia coli Genes and Metabolism." Nucleic Acids Res. 25 (1). 1997. pp. 43-51.
    [ .pdf ] [ PubMed ]

    The Encyclopedia of Genes and Metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of Escherichia coli. It describes 2970 genes of E.coli, 547 enzymes encoded by these genes, 702 metabolic reactions that occur in E.coli and the organization of these reactions into 107 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 spans the space from sequence to function to allow scientists to investigate an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article because of its copious references to the primary literature, and as an in silicio model of E.coli metabolism that can be probed and analyzed through computational means.

    Keywords: Amino Acid Sequence ; Base Sequence ; *Databases Factual ; Escherichia coli_*genetics ; Escherichia coli_*metabolism ; *Genes Bacterial ; User-Computer Interface


  5. 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


  6. Karp, P.D., Riley, M., Paley, S.M., Pellegrini-Toole, A., and Krummenacker, M.. "Eco Cyc: encyclopedia of Escherichia coli genes and metabolism." Nucleic Acids Res. 27 (1). 1999. pp. 55-8.
    [ .pdf ] [ PubMed ]

    The EcoCyc database describes the genome and gene products of Escherichia coli, its metabolic and signal-transduction pathways, and its tRNAs. The database describes 4391 genes of E.coli, 695 enzymes encoded by a subset of these genes, 904 metabolic reactions that occur in E.coli, and the organization of these reactions into 129 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 has many references to the primary literature, and is a (qualitative) computational model of E. coli metabolism. EcoCyc is available at URL http://ecocyc. PangeaSystems.com/ecocyc/

    Keywords: Classification ; *Databases Factual ; Enzymes_genetics ; Enzymes_metabolism ; Escherichia coli_*genetics ; Escherichia coli_*metabolism ; *Genes Bacterial ; Genome Bacterial ; Information Storage and Retrieval ; Internet ; Signal Transduction ; User-Computer Interface