Abstract

In this postgenomic era, a huge volume of information derived from expressed sequence tags (ESTs) has been constructed for functional description of gene expression profiles. Comparative studies have become more and more important to researchers of biology. In order to facilitate these comparative studies, we have constructed a user-friendly EST annotation pipeline with comparison tools on an integrated EST service website, Bio301. Bio301 includes regular EST preprocessing, BLAST similarity search, gene ontology (GO) annotation, statistics reporting, a graphical GO browsing interface, and microarray probe selection tools. In addition, Bio301 is equipped with statistical library comparison functions using multiple EST libraries based on GO annotations for mining meaningful biological information.

Highlights

  • This flexibility in comparing multiple expressed sequence tags (ESTs) libraries is essential because EST libraries are often sampled from organisms that are of special interest to biologists

  • Each cell of the matrix is filled with fij, the number of ESTs that belong to the corresponding library and gene ontology (GO) term

  • Compared to other existing EST analysis tools, Bio301 has the following advantages. It combines advanced functional annotation methods and enables users to annotate more genes than they could with one method alone, which is useful for studying uncommon organisms

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Summary

Motivation

Expressed sequence tags (ESTs) [1] are small pieces of DNA sequences (usually 200 to 500 nucleotides long) derived by either unidirectional or bidirectional sequencing of cDNA libraries. Bio301 gives users flexibility in comparing multiple EST libraries by performing statistical comparisons based on expression profiles and GO annotations. This flexibility in comparing multiple EST libraries is essential because EST libraries are often sampled from organisms that are of special interest to biologists. OREST [7] has a user-friendly web interface for annotating ESTs and compares them with model organisms Since each of these tools has its own strength and shortcomings, in the creation of Bio301, we sought to combine the best aforementioned features of all of the aforementioned advanced EST tools such that Bio301 would facilitate ongoing and future functional comparison studies based on EST data

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