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The objective of our ongoing
research is to identify, develop, and implement a set of algorithms, which
can be used for identifying novel miRNAs and
their targets. These algorithms are
unique in that they do not depend on cross-species sequence
conservation. Our prediction
algorithm centers on a novel meta-classification tool built using a dynamic
Markov chain that learns the structure of miRNAs
as seen through our new visualization tool, TCGR. We use molecular biology
and transgenic studies to validate the existence of and expression patterns
for newly predicted miRNAs. Our initial work is
targeting C. elegans, but future studies will
expand to other species. We will also create an online tool that can be
used by other researchers to apply our algorithms to new genome data.
Current
Research Projects:
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