Nucleic Acids Research, 2005, Vol. 33, Database issue D75-D79
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved
ECgene: genome annotation for alternative splicing
Division of Molecular Life Sciences, Ewha Womans University, Seoul 120-750, Korea and 1 School of Chemistry, Seoul National University, Seoul 151-747, Korea
* To whom correspondence should be addressed. Tel: +82 2 3277 2888; Fax: +82 2 3277 2384; Email: sanghyuk{at}ewha.ac.kr
The authors wish it to be known that, in their opinion, the first four authors should be regarded as joint First Authors
Received August 15, 2004; Revised October 9, 2004; Accepted October 20, 2004
ECgene provides annotation for gene structure, function and expression, taking alternative splicing events into consideration. The gene-modeling algorithm combines the genome-based expressed sequence tag (EST) clustering and graph-theoretic transcript assembly procedures. The website provides several viewers and applications that have many unique features useful for the analysis of the transcript structure and gene expression. The summary viewer shows the gene summary and the essence of other annotation programs. The genome browser and the transcript viewer are available for comparing the gene structure of splice variants. Changes in the functional domains by alternative splicing can be seen at a glance in the transcript viewer. We also provide two unique ways of analyzing gene expression. The SAGE tags deduced from the assembled transcripts are used to delineate quantitative expression patterns from SAGE libraries available publically. Furthermore, the cDNA libraries of EST sequences in each cluster are used to infer qualitative expression patterns. It should be noted that the ECgene website provides annotation for the whole transcriptome, not just the alternatively spliced genes. Currently, ECgene supports the human, mouse and rat genomes. The ECgene suite of tools and programs is available at http://genome.ewha.ac.kr/ECgene/.
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