description
Clustering EST sequences is a widely used method
for analyzing the transcriptome of a genome. Especially for
organisms which genome sequence is not (yet) sequenced, the EST data
is a valuable source of information. We develop gene prediction
methods based on EST data for model organisms, focusing on organisms
with no genome sequence available.
We have developed a database system that incorporates a variety of
precomputed analyses (see Genlight project) and provides a query
able sequence analysis system. The compilation of tools normally
available through separate public domain sequence analysis systems
provides the experimental biologist with the ability to develop
complex queries to identify and characterize genes of interest
either on an individual basis or in a batch mode.
For a comparison of EST data with availbale genomic sequences, we
have developed the e2g tool, which allows the rapid mapping
of ESTs to a given genomic sequence.
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