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 :
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