EGassembler: online bioinformatics service for large-scale processing, clustering and assembling ESTs and genomic DNA...

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• Expressed sequence tag (EST) sequencing is a cost-effective method for gene discovery in organisms without a reference genome.
• Large-scale EST sequencing initiatives require robust bioinformatics tools for efficient data handling and analysis.
• A universal tool is needed for standardized processing and functional annotation of extensive EST datasets.

Purpose of the Study:

• To introduce EGassembler, a web server designed for comprehensive processing and functional annotation of ESTs and genomic fragments.
• To provide researchers with an automated and customizable bioinformatics solution for large-scale sequence data analysis.
• To support gene discovery, transcript analysis, and pathway mapping through efficient EST handling.

Main Methods:

• EGassembler offers automated and user-customized analysis pipelines.
• Key functionalities include cleaning, repeat masking, vector trimming, and organelle masking.
• The server performs clustering and assembly of ESTs and genomic DNA using a high-performance computing environment.

Main Results:

• EGassembler provides an all-in-one web service for large-scale EST and genomic DNA clustering and assembly.
• The platform can process substantial data volumes rapidly on a Sun Fire 15K supercomputer.
• Generated results aid in functional gene annotation, splice alignment, transcript mapping, and pathway analysis.

Conclusions:

• EGassembler serves as a valuable, publicly available bioinformatics tool for the research community.
• It streamlines sequence handling for both wet-lab and bioinformatics researchers.
• The tool enhances gene discovery, functional annotation, and various downstream applications in genomics and molecular biology.