Relative Information Gain: Shannon entropy-based measure of the relative structural conservation in RNA alignments.

ABSTRACT: Structural characterization of RNAs is a dynamic field, offering many modelling possibilities. RNA secondary structure models are usually characterized by an encoding that depicts structural information of the molecule through string representations or graphs. In this work, we provide a generalization of the BEAR encoding (a context-aware structural encoding we previously developed) by expanding the set of alignments used for the construction of substitution matrices and then applying it to secondary structure encodings ranging from fine-grained to more coarse-grained representations. We also introduce a re-interpretation of the Shannon Information applied on RNA alignments, proposing a new scoring metric, the Relative Information Gain (RIG). The RIG score is available for any position in

SUBMITTER: Pietrosanto M 

PROVIDER: S-EPMC7884220 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature