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| Chisato Yamasaki; Jun-ichi Takeda; Takuya Habara; Makoto Ogawa; Akiko Noda; Ryuichi Sakate; Katsuhiko Murakami; Tadashi Imanishi; Takashi Gojobori. |
| H-Invitational Database (H-InvDB: "http://www.h-invitational.jp/":http://www.h-invitational.jp/) is a comprehensive annotation resource for human transcriptome. By extensive analyses of all human transcripts, we provide curated annotations of human genes, transcripts and proteins that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms, relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. The latest release of H-InvDB (release 7.0) provides annotation for 296,912 human transcripts in... |
| Tipo: Poster |
Palavras-chave: Genetics & Genomics; Bioinformatics; Data Standards. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5271/version/1 |
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| Tadashi Imanishi; Akiko O. Noda; Miho Sera. |
| H-InvDB Enrichment Analysis Tool (HEAT) is a new data-mining tool for gene set enrichment analysis based on comprehensive annotations of human genes in H-InvDB. HEAT searches for H-InvDB annotations that are significantly enriched in a user-defined gene set, as compared with the entire H-InvDB representative transcripts. The advantage of HEAT is the wide variety of annotation items used for its analysis: chromosomal bands, InterPro functional domains, Gene Ontology terms, KEGG pathways, H-InvDB gene families/groups, SCOP structural domains, subcellular localization predicted by using the Wolf-PSORT program, tissue-specific gene expression as defined in the H-ANGEL database, and transcription factor binding sites in promoter regions based on JASPAR. HEAT... |
| Tipo: Poster |
Palavras-chave: Bioinformatics. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5185/version/1 |
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| Chisato Yamasaki; Jun-ichi Takeda; Takuya Habara; Makoto Ogawa; Akiko Noda; Ryuichi Sakate; Katsuhiko Murakami; Tadashi Imanishi; Takashi Gojobori. |
| H-Invitational Database (H-InvDB: "http://www.h-invitational.jp/":http://www.h-invitational.jp/) is a comprehensive annotation resource for human transcriptome. By extensive analyses of all human transcripts, we provide curated annotations of human genes, transcripts and proteins that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms, relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. The latest release of H-InvDB (release 7.0) provides annotation for 296,912 human transcripts in... |
| Tipo: Presentation |
Palavras-chave: Genetics & Genomics; Bioinformatics; Data Standards. |
| Ano: 2010 |
URL: http://precedings.nature.com/documents/5272/version/1 |
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| Chisato Yamasaki; Katsuhiko Murakami; Jun-ichi Takeda; Yoshiharu Sato; Akiko Noda; Ryuichi Sakate; Takuya Habara; Hajime Nakaoka; Fusano Todokoro; Akihiro Matsuya; Tadashi Imanishi; Takashi Gojobori. |
| H-Invitational Database (H-InvDB; "http://www.h-invitational.jp/":http://www.h-invitational.jp/) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms, relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. The latest release of H-InvDB (release 6.0) provide annotation for 219,765 human transcripts in 43,159 human gene... |
| Tipo: Poster |
Palavras-chave: Genetics & Genomics; Bioinformatics; Evolutionary Biology. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3251/version/1 |
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