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Further Statistical Methods for the Analysis of Ribosome Profiling Data Olshen, Adam
Description
During translation messenger RNA produced by transcription is decoded by ribosomes to produce specific polypeptides. Ribosome profiling, a second generation sequencing technology, was developed to measures the position and counts of ribosomes. When combined with corresponding mRNA sequencing data, ribosome profiling data can give insights into translational efficiency. We developed the Babel framework to discover gene level changes in translational efficiency between different conditions utilizing ribosome profiling data. Here we discuss Babel and also newer statistical approaches to ribosome profiling data.
Item Metadata
Title |
Further Statistical Methods for the Analysis of Ribosome Profiling Data
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2015-08-03T11:22
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Description |
During translation messenger RNA produced by transcription is decoded by ribosomes to produce specific polypeptides. Ribosome profiling, a second generation sequencing technology, was developed to measures the position and counts of ribosomes. When combined with corresponding mRNA sequencing data, ribosome profiling data can give insights into translational efficiency. We developed the Babel framework to discover gene level changes in translational efficiency between different conditions utilizing ribosome profiling data. Here we discuss Babel and also newer statistical approaches to ribosome profiling data.
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Extent |
37 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: University of California, San Francisco
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Series | |
Date Available |
2016-04-18
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0229554
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International