• DocumentCode
    832858
  • Title

    Sigmoid: a software infrastructure for pathway bioinformatics and systems biology

  • Author

    Cheng, Jianlin ; Scharenbroich, Lucas ; Baldi, Pierre ; Mjolsness, Eric

  • Author_Institution
    California Univ., Irvine, CA, USA
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    Biological systems encompass everything from immune and nervous systems to ecosystems. Systems biology, however, focuses primarily on unraveling molecular systems at the level of pathways and groups of pathways in a cell and its neighboring cells. Here we address the challenge of creating an expert assistance system for modeling biological pathways, using current software technology to decrease development costs and complexity. Our goal is to provide computational support to biologists and computational scientists who need to create and explore predictive dynamical models of complex biological systems such as metabolic, gene-regulation, or signal-transduction pathways in living cells.
  • Keywords
    Java; Unified Modeling Language; biology computing; biotechnology; data mining; genetics; graphical user interfaces; medical expert systems; middleware; query languages; software architecture; Sigmoid; expert assistance system; gene-regulation pathway; living cells; metabolic pathway; molecular systems; pathway bioinformatics; predictive dynamical models; signal-transduction pathways; software infrastructure; systems biology; Bioinformatics; Biological system modeling; Biological systems; Biology computing; Cells (biology); Costs; Ecosystems; Immune system; Nervous system; Systems biology; Cellerator; Sigmoid; UML; bioinformatics; cell modeling; computer algebra; generative software; intelligent middleware; pathway; systems biology;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2005.51
  • Filename
    1439482