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