HIGHLIGHTS
- who: Sana Vaziri and colleagues from the Department of Computer Science, of California Davis, Davis, California, United States of have published the research work: Extracting information from RNA SHAPE data: Kalman filtering approach, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0207029]. November 21, 2018 of /1371/
- what: The authors explore different representations of noise in SHAPE data and propose a statistically sound framework for extracting reliable reactivity information from multiple SHAPE replicates. The authors propose instead a log-normal representation of noise and discuss its relevance. The authors show that . . .
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