ABSTRACT |
Combinatorics on RNA structures has been studied to develop and
improve prediction algorithms. Combinatorial approaches classify RNA structures
and enumerate the number of possible structures under various kinds of
constraints and classifications. In particular, Hermitian matrix model was
introduced in order to take into account so-called pseudo-knot structures. We
discuss basic features of RNA and combinatorial applications of matrix
integrals. |