This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 623
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #308926
Title: Inferring Alternative Splicing Gene Expression from Nextgen Sequencing Studies
Author(s): David Rossell*+
Companies: IRB Barcelona
Address: Baldiri Reixac 10, Barcelona, 08028, Spain
Keywords: Nextgen sequencing ; Bayes ; mixture modeling ; RNAseq ; Model selection

Next-generation sequencing (NGS) is a revolutionary tool for genomics which produces an overwhelming amount of data in a single experiment. Through the use of adequate statistical methods, NGS allows addressing biological questions at an unprecedented resolution. We focus on detecting and quantifying gene alternative splicing from paired-end RNAseq studies, an unfeasible problem with previous technology. The data can be viewed as arising from a mixture of probability distributions with an unknown number of components. We formulate a Bayesian model which takes full advantage of the structure of the data and permits incorporating (a priori) information available in public databases. The approach is computationally efficient and can be combined with standard model selection, model averaging and model checking procedures to deliver improved inference.

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