• DocumentCode
    2890029
  • Title

    Improved RNA-Seq Partitions in Linear Models for Isoform Quantification

  • Author

    Howard, Brian E. ; Veronese, Paola ; Heber, Steffen

  • Author_Institution
    Bioinf. Res. Center, North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    Here, we present an extension of our isoform quantification method that accommodates paired end RNA Sequencing data. We explore several alternate methods of partitioning read count data in order to better exploit the available fragment size distribution, and to reduce the variance in the resulting estimates. In many cases, this significantly improves the accuracy of our approach.
  • Keywords
    RNA; bioinformatics; RNA-Seq partitions; isoform quantification; linear models; paired end RNA sequencing data; Bioinformatics; Computational modeling; Covariance matrix; Equations; Genomics; Mathematical model; Silicon; Isoform Quantification; Linear Model; RNA-Seq;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1799-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2011.102
  • Filename
    6120427
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2890029