TBI-p-2010-5
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Titel:
Discriminatory Power of RNA Family Models
Author(s):
Christian Hoener zu Siederdissen and Ivo L. Hofacker
submitted to:
Abstract:
Motivation: RNA family models group nucleotide sequences that share a
common biological function. These models can be used to find new sequences
belonging to the same family. To succeed in this task, a model needs to exhibit
high sensitivity as well as high specificity. As model construction is guided
by a manual process, a number of problems can occur, such as the introduction of
more than one model for the same family or poorly constructed models. We
explore the Rfam database to discover such problems.
Results: Our main contribution is in the definition of the
discriminatory power of RNA family models, together with a first algorithm for
its computation. In addition, we present calculations across the whole Rfam
database that show several families lacking high specificity when compared to
other families. We give a list of these clusters of families and provide a
tentative explanation. Our program can be used to: (i) make sure that new
models are not equivalent to any model already present in the database (ii) new
models are not simply submodels of existing families.
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