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SUMMARY:Estimating Isoform-Specific Gene Expression Using Paired-End RNA-S
 eq - Jiang\, H (Stanford University)
DTSTART:20100715T083000Z
DTEND:20100715T090000Z
UID:TALK25502@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In mammalian cells\, RNAs can have highly similar sequences ye
 t encode proteins with remarkably different functional roles. Isoforms of 
 a gene are an example of a collection of such RNAs. Accumulating evidence 
 suggests that a key factor charactering cell function in mammals is differ
 ential isoform expression. Quantifying differences in cellular abundance o
 f isoforms is therefore of significant biological interest. Ultra High Thr
 oughput Sequencing (UHTS) is an emerging technology which promises to beco
 me as (or more) powerful\, popular and cost-effective than current microar
 ray technology for estimating gene expression\, particularly at the level 
 of isoforms. This talk will introduce a statistical model for estimating i
 soform abundance from UHTS data\, and illustrate its intuitive minimal suf
 ficient statistics and computationally feasible implementation. Time permi
 tting\, we will describe extensions of this work including how Fisher info
 rmation can be used to quantify statistical gains from using a paired-end 
 RNA-Seq protocol. This is joint work with Julia Salzman and Wing Hung Wong
 . 
LOCATION:Seminar Room 1\, Newton Institute
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