• DocumentCode
    3408804
  • Title

    Multi-knockout genetic network analysis: the Rad6 example

  • Author

    Kaufman, Alon ; Kupiec, Martin ; Ruppin, Eytan

  • Author_Institution
    Hebrew Univ., Jerusalem, Israel
  • fYear
    2004
  • fDate
    16-19 Aug. 2004
  • Firstpage
    332
  • Lastpage
    340
  • Abstract
    A novel and rigorous multi-perturbation shapley value analysis (MSA) method has been recently presented. The method addresses the challenge of defining and calculating the functional causal contributions of elements of a biological system. This work presents the first study applying MSA to the analysis of gene knockout data. The MSA identifies the importance of genes in the Rad6 DNA repair pathway of the yeast S. cerevisiae, quantifying their contributions and characterizing their functional interactions. Incorporating additional biological knowledge, a new functional description of the Rad6 pathway is provided, predicting the existence of additional DNA polymerase and RFC-like complexes. The MSA is the first method for rigorously analyzing multi-knockout experiments, which are likely to soon become a standard and necessary tool for analyzing complex biological systems.
  • Keywords
    DNA; biology computing; enzymes; genetics; molecular biophysics; perturbation techniques; DNA polymerase; Rad6 DNA repair pathway; S. cerevisiae; biological system; functional causal contributions; multiknockout genetic network analysis; multiperturbation shapley value analysis method; yeast; Bioinformatics; Biological systems; Biology computing; Biotechnology; Computer science; DNA; Fungi; Genetics; Organisms; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
  • Print_ISBN
    0-7695-2194-0
  • Type

    conf

  • DOI
    10.1109/CSB.2004.1332446
  • Filename
    1332446