Structured Motif Extractor
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In the last years, the completion
of the human genome sequencing showed up a wide range of new challenging
issues involving raw data analysis. In particular, the discovery of
information implicitly encoded in biological sequences is assuming a
prominent role in identifying genetic diseases and in deciphering biological
mechanisms. This information is usually represented by patterns frequently
occurring in the sequences. Because of biological observations, a specific
class of patterns is becoming particularly interesting: frequent structured
patterns. In this respect, it is biologically meaningful to look at both
"exact" and "approximate" repetitions of patterns within
the available sequences. SME implements algorithms
allowing to discover frequent structured patterns, both in "exact"
and "approximate" form, present in a collection of input biological
sequences. To access the system click here If the system’s page does not
load, please contact us to
access the system. References: G. Terracina, A fast technique for
deriving frequent structured patterns
from biological data sets, Information Sciences, To Appear L. Palopoli and G. Terracina, Discovering frequent structured
patterns from string databases: an application to biological sequences,
Proc. of The 5th International Conference on Discovery Science (DS 2002),
34-46, |