Gathers functional annotation for alternatively spliced (AS) genes. ECgene contains the domain, Gene Ontology (GO) and expression pattern analysis based on the EST and SAGE data. It also provides tools to study differential expression pattern which may assist in recognition of tissue- and/or cancer-specific genes. This platform permits users to infer functional significance of each splice variant.
Division of Molecular Life Sciences, Ewha Womans University, Seoul, Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea; Bioinformatics Team, Electronics and Telecommunications Research Institute (ETRI), Gajeong-Dong, Daejeon, Korea; Department of Chemistry and Biochemistry, Center for Computational Biology, Institute for Genomics and Proteomics, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA; Korean Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, Korea
ECgene funding source(s)
Supported by the Korean Ministry of Science and Technology through the bioinformatics research program (Grant No. 2006-01305) and by the Korean Institute for Information Technology Advancement (IITA) under the Korean Ministry of Information and Communication.