• DocumentCode
    3408176
  • Title

    Computational dissection of regulatory networks using diverse high-throughput data

  • Author

    Shamir, Ron

  • Author_Institution
    Sch. of Comput. Sci., Tel Aviv Univ., Israel
  • fYear
    2004
  • fDate
    16-19 Aug. 2004
  • Firstpage
    2
  • Lastpage
    3
  • Abstract
    Summary form only given. The maturation of high-throughput technologies and the availability of whole genome sequences make it possible to apply holistic computational approaches to the study of biological systems. The use of high-throughput technologies requires the development of advanced computational methods and tools that would enable the elicitation of significant biological knowledge from the vast amounts of data generated by these methods. Our group has been developing a battery of such methodologies and incorporated some of them in several tools such as CLICK, PRIMA, SAMBA, EXPANDER, SHARP, Binding Site Evolution and MetaReg.
  • Keywords
    biology computing; genetics; knowledge acquisition; molecular biophysics; Binding Site Evolution; CLICK; EXPANDER; MetaReg; PRIMA; SAMBA; SHARP; biological knowledge elicitation; biological systems; diverse high-throughput data; high-throughput technologies; holistic computational approaches; regulatory networks; whole genome sequences; Algorithm design and analysis; Bioinformatics; Biological system modeling; Biology computing; Computer networks; Fungi; Gene expression; Genomics; Proteins; Sequences;
  • 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.2004.1332406
  • Filename
    1332406