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比利时vs摩洛哥足彩 ,
university of california san diego

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genetics, bioinformatics, and systems biology colloquium

christine heitsch

georgia tech

rna profiling: extracting structural signals from noisy distributions

abstract:

accurate rna structural prediction remains challenging, despite its increasing biomedical importance. sampling secondary structures from the gibbs distribution yields a strong signal of high probability base pairs. however, identifying higher order substructures requires further analysis. profiling (rogers & heitsch, nar, 2014) is a novel method which identifies the most probable combinations of base pairs across the boltzmann ensemble. this combinatorial approach is straightforward, stable, and clearly separates structural signal from thermodynamic noise.

host: glenn tesler

april 4, 2019

12:00 pm

fung auditorium (pfbh 191)

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