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Abstract Details
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Activity Number:
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148
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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| Abstract - #300255 |
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Title:
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Statistical Methods for the Analysis of Ribosome Profiling Data
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Author(s):
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Adam B. Olshen*+ and Barry Taylor and Richard Olshen
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Companies:
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University of California at San Francisco and Memorial Sloan-Kettering Cancer Center and Stanford University
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Address:
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, , ,
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Keywords:
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ribosome profiling ;
sequencing
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Abstract:
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During translation messenger RNA produced by transcription is decoded by robosomes to produce specific polypeptides. Recently, a second generation sequencing methodology was developed that measures the position and counts of ribosomes. When combined with corresponding mRNA sequencing data, ribosomal data can give insights into translational efficiency. I will discuss issues that arise when analyzing such data, including normalization and testing hypotheses. I will demonstrate competing methods of analysis on a set of data that are available to the public and by simulation.
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Authors who are presenting talks have a * after their name.
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