• DocumentCode
    2737756
  • Title

    Workshop: Transcriptome assembly from RNA-Seq data: Objectives, algorithms and challenges

  • Author

    Li, Wei ; Feng, Jianxing ; Jiang, Tao

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of California, Riverside, CA, USA
  • fYear
    2011
  • fDate
    3-5 Feb. 2011
  • Firstpage
    271
  • Lastpage
    271
  • Abstract
    In this talk, IsoLasso , a new RNA-Seq based transcriptome assembly tool is introduced. IsoLasso is based on the well-known LASSO algorithm, which is a multivariate regression method designated to seek a balance between the maximization of prediction accuracy and the minimization of interpretation. By including some additional constraints in the quadratic programming involved in LASSO, IsoLasso is able to make the set of assembled transcripts as complete as possible. Experiments on simulated and real RNA Seq datasets show that IsoLasso achieves higher sensitivity and precision simultaneously than other recently released transcriptome assembly algorithms including Isolnfer , Cufflinks and Scripture.
  • Keywords
    biology computing; macromolecules; minimisation; molecular biophysics; molecular configurations; regression analysis; Cufflinks; IsoLasso; Isolnfer; LASSO algorithm; RNA-Seq based transcriptome assembly tool; RNA-Seq data; Scripture; maximization; minimization; multivariate regression method; prediction accuracy; transcriptome assembly; Accuracy; Algorithm design and analysis; Assembly; Bioinformatics; Genomics; Minimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-61284-851-8
  • Type

    conf

  • DOI
    10.1109/ICCABS.2011.5729925
  • Filename
    5729925