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Nucleic Acids Research 2006 34(Web Server issue):W459-W462; doi:10.1093/nar/gkl066
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© The Author 2006. Published by Oxford University Press. All rights reserved
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Article

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

Ali Masoudi-Nejad1,2,*, Koichiro Tonomura1, Shuichi Kawashima3, Yuki Moriya1, Masanori Suzuki4, Masumi Itoh1, Minoru Kanehisa1,3, Takashi Endo2 and Susumu Goto1

1 Laboratory of Bioknowledge Systems, Bioinformatics Center, Institute for Chemical Research, Kyoto University Gokasho Uji, Kyoto 611-0011, Japan 2 Laboratory of Plant Genetics, Division of Applied Bioscience, Kyoto University Kyoto 606-8502, Japan 3 Laboratory of Genome Database, Human Genome Center, University of Tokyo Tokyo 108-8639, Japan 4 Hitachi Government & Public Corporation System Engineering, Ltd. 4-18, Tokyo 2-Chome, Koto-ku, Tokyo 135-8633, Japan

*To whom correspondence should be addressed. Tel: +81 90 2195 4417; Fax: +81 774 38 3269; Email: amasoudi{at}kais.kyoto-u.ac.jp

Received January 19, 2006. Revised February 19, 2006. Accepted March 1, 2006.

Expressed sequence tag (EST) sequencing has proven to be an economically feasible alternative for gene discovery in species lacking a draft genome sequence. Ongoing large-scale EST sequencing projects feel the need for bioinformatics tools to facilitate uniform EST handling. This brings about a renewed importance for a universal tool for processing and functional annotation of large sets of ESTs. EGassembler (http://egassembler.hgc.jp/) is a web server, which provides an automated as well as a user-customized analysis tool for cleaning, repeat masking, vector trimming, organelle masking, clustering and assembling of ESTs and genomic fragments. The web server is publicly available and provides the community a unique all-in-one online application web service for large-scale ESTs and genomic DNA clustering and assembling. Running on a Sun Fire 15K supercomputer, a significantly large volume of data can be processed in a short period of time. The results can be used to functionally annotate genes, to facilitate splice alignment analysis, to link the transcripts to genetic and physical maps, design microarray chips, to perform transcriptome analysis and to map to KEGG metabolic pathways. The service provides an excellent bioinformatics tool to research groups in wet-lab as well as an all-in-one-tool for sequence handling to bioinformatics researchers.


Correspondence may also be addressed to Susumu Goto. Tel: +81 774 3271; Fax: +81 774 3269; Email: goto{at}kuiicr.kyoto-u.ac.jp


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