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ConiferEST is a unique database for data reprocessing and mining of conifer Expressed Sequence Tag (EST) traces.
Its main characteristics are:
It is the first public EST resource for reprocessing raw DNA sequencer trace files
for previously ignored sequence features, which will help data quality control
and validation of error-prone ESTs and mine novel functional motifs embedded in large EST datasets.
By focusing on characterizing and highlighting 3' and 5' termini of cDNA inserts
created using oligo-dT primers, ConiferEST strives to provide the community cleaner, well-annotated EST sequences
that will benefit many EST downstream data analyses.
ConiferEST presents both the complexity and abnormality of EST data in terms of terminus structures
to the community in a biologist-friendly manner, with robust data filtration, sorting, searching and visualization functionality.
We are now in the process of expanding the reprocessing procedures to include other species and
constructing an EST-Termini database, which will be a useful, complementary public resource in EST data integration and mining.
Liang C, Wang G, Liu L, Ji G, Fang L, Liu Y, Carter K, Webb JS, Dean JFD.
ConiferEST: an integrated bioinformatics system for data reprocessing and mining of conifer expressed sequence tags (ESTs).
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Access ConiferEST (Build 2.0)