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Database Commons - H-InvDB

H-InvDB

Citations: 109

z-index 10.90

Short name H-InvDB
Full name H-Invitational Database
Description H-Invitational Database (H-InvDB) provides curated annotations of human genes and transcripts.
URL http://www.h-invitational.jp/
Year founded 2004
Last update & version 2015-06-30    v9.0
Availability Free to all users
University/Institution hosted National Institute of Advanced Industrial Science and Technology
Address Aomi 2-4-7, Koto-ku, Tokyo 135-0064, Japan
City Tokyo
Province/State
Country/Region Japan
Contact name Tadashi Imanishi
Contact email t.imanishi@aist.go.jp
Data type(s)
Major organism(s)
Keyword(s)
  • comprehensive human gene
Publication(s)
  • H-InvDB in 2013: an omics study platform for human functional gene and transcript discovery. [PMID: 23197657]

    Jun-Ichi Takeda, Chisato Yamasaki, Katsuhiko Murakami, Yoko Nagai, Miho Sera, Yuichiro Hara, Nobuo Obi, Takuya Habara, Takashi Gojobori, Tadashi Imanishi
    Nucleic acids research 2013:41(Database issue)
    18 Citations (Google Scholar as of 2016-01-30)

    Abstract: H-InvDB (http://www.h-invitational.jp/) is a comprehensive human gene database started in 2004. In the latest version, H-InvDB 8.0, a total of 244 709 human complementary DNA was mapped onto the hg19 reference genome and 43 829 gene loci, including nonprotein-coding ones, were identified. Of these loci, 35 631 were identified as potential protein-coding genes, and 22 898 of these were identical to known genes. In our analysis, 19 309 annotated genes were specific to H-InvDB and not found in RefSeq and Ensembl. In fact, 233 genes of the 19 309 turned out to have protein functions in this version of H-InvDB; they were annotated as unknown protein functions in the previous version. Furthermore, 11 genes were identified as known Mendelian disorder genes. It is advantageous that many biologically functional genes are hidden in the H-InvDB unique genes. As large-scale proteomic projects have been conducted to elucidate the functions of all human proteins, we have enhanced the proteomic information with an advanced protein view and new subdatabase of protein complexes (Protein Complex Database with quality index). We propose that H-InvDB is an important resource for finding novel candidate targets for medical care and drug development.

  • H-InvDB in 2009: extended database and data mining resources for human genes and transcripts. [PMID: 19933760]

    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
    Nucleic acids research 2010:38(Database issue)
    38 Citations (Google Scholar as of 2016-01-30)

    Abstract: We report the extended database and data mining resources newly released in the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). H-InvDB is a comprehensive annotation resource of human genes and transcripts, and consists of two main views and six sub-databases. The latest release of H-InvDB (release 6.2) provides the annotation for 219,765 human transcripts in 43,159 human gene clusters based on human full-length cDNAs and mRNAs. H-InvDB now provides several new annotation features, such as mapping of microarray probes, new gene models, relation to known ncRNAs and information from the Glycogene database. H-InvDB also provides useful data mining resources-'Navigation search', 'H-InvDB Enrichment Analysis Tool (HEAT)' and web service APIs. 'Navigation search' is an extended search system that enables complicated searches by combining 16 different search options. HEAT is a data mining tool for automatically identifying features specific to a given human gene set. 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. H-InvDB now has web service APIs of SOAP and REST to allow the use of H-InvDB data in programs, providing the users extended data accessibility.

  • The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts. [PMID: 18089548]

    null null, Chisato Yamasaki, Katsuhiko Murakami, Yasuyuki Fujii, Yoshiharu Sato, Erimi Harada, Jun-ichi Takeda, Takayuki Taniya, Ryuichi Sakate, Shingo Kikugawa, Makoto Shimada, Motohiko Tanino, Kanako O Koyanagi, Roberto A Barrero, Craig Gough, Hong-Woo Chun, Takuya Habara, Hideki Hanaoka, Yosuke Hayakawa, Phillip B Hilton, Yayoi Kaneko, Masako Kanno, Yoshihiro Kawahara, Toshiyuki Kawamura, Akihiro Matsuya, Naoki Nagata, Kensaku Nishikata, Akiko Ogura Noda, Shin Nurimoto, Naomi Saichi, Hiroaki Sakai, Ryoko Sanbonmatsu, Rie Shiba, Mami Suzuki, Kazuhiko Takabayashi, Aiko Takahashi, Takuro Tamura, Masayuki Tanaka, Susumu Tanaka, Fusano Todokoro, Kaori Yamaguchi, Naoyuki Yamamoto, Toshihisa Okido, Jun Mashima, Aki Hashizume, Lihua Jin, Kyung-Bum Lee, Yi-Chueh Lin, Asami Nozaki, Katsunaga Sakai, Masahito Tada, Satoru Miyazaki, Takashi Makino, Hajime Ohyanagi, Naoki Osato, Nobuhiko Tanaka, Yoshiyuki Suzuki, Kazuho Ikeo, Naruya Saitou, Hideaki Sugawara, Claire O'Donovan, Tamara Kulikova, Eleanor Whitfield, Brian Halligan, Mary Shimoyama, Simon Twigger, Kei Yura, Kouichi Kimura, Tomohiro Yasuda, Tetsuo Nishikawa, Yutaka Akiyama, Chie Motono, Yuri Mukai, Hideki Nagasaki, Makiko Suwa, Paul Horton, Reiko Kikuno, Osamu Ohara, Doron Lancet, Eric Eveno, Esther Graudens, Sandrine Imbeaud, Marie Anne Debily, Yoshihide Hayashizaki, Clara Amid, Michael Han, Andreas Osanger, Toshinori Endo, Michael A Thomas, Mika Hirakawa, Wojciech Makalowski, Mitsuteru Nakao, Nam-Soon Kim, Hyang-Sook Yoo, Sandro J De Souza, Maria de Fatima Bonaldo, Yoshihito Niimura, Vladimir Kuryshev, Ingo Schupp, Stefan Wiemann, Matthew Bellgard, Masafumi Shionyu, Libin Jia, Danielle Thierry-Mieg, Jean Thierry-Mieg, Lukas Wagner, Qinghua Zhang, Mitiko Go, Shinsei Minoshima, Masafumi Ohtsubo, Kousuke Hanada, Peter Tonellato, Takao Isogai, Ji Zhang, Boris Lenhard, Sangsoo Kim, Zhu Chen, Ursula Hinz, Anne Estreicher, Kenta Nakai, Izabela Makalowska, Winston Hide, Nicola Tiffin, Laurens Wilming, Ranajit Chakraborty, Marcelo Bento Soares, Maria Luisa Chiusano, Yutaka Suzuki, Charles Auffray, Yumi Yamaguchi-Kabata, Takeshi Itoh, Teruyoshi Hishiki, Satoshi Fukuchi, Ken Nishikawa, Sumio Sugano, Nobuo Nomura, Yoshio Tateno, Tadashi Imanishi, Takashi Gojobori
    Nucleic acids research 2008:36(Database issue)
    53 Citations (Google Scholar as of 2016-01-30)

    Abstract: Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource for human genes and transcripts. H-InvDB, originally developed as an integrated database of the human transcriptome based on extensive annotation of large sets of full-length cDNA (FLcDNA) clones, now provides annotation for 120 558 human mRNAs extracted from the International Nucleotide Sequence Databases (INSD), in addition to 54 978 human FLcDNAs, in the latest release H-InvDB_4.6. We mapped those human transcripts onto the human genome sequences (NCBI build 36.1) and determined 34 699 human gene clusters, which could define 34 057 (98.1%) protein-coding and 642 (1.9%) non-protein-coding loci; 858 (2.5%) transcribed loci overlapped with predicted pseudogenes. For all these transcripts and genes, we provide comprehensive annotation including gene structures, gene functions, alternative splicing variants, functional non-protein-coding RNAs, functional domains, predicted sub cellular localizations, metabolic pathways, predictions of protein 3D structure, mapping of SNPs and microsatellite repeat motifs, co-localization with orphan diseases, gene expression profiles, orthologous genes, protein-protein interactions (PPI) and annotation for gene families. The current H-InvDB annotation resources consist of two main views: Transcript view and Locus view and eight sub-databases: the DiseaseInfo Viewer, H-ANGEL, the Clustering Viewer, G-integra, the TOPO Viewer, Evola, the PPI view and the Gene family/group.

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Accessibility

Rate of accessibility:
HTTP status codeDate requested
200 OK2018-11-16
200 OK2018-11-13
200 OK2018-11-09
200 OK2018-11-06
200 OK2018-11-02
200 OK2018-10-30
200 OK2018-10-26
200 OK2018-10-23
200 OK2018-10-19
200 OK2018-10-16
200 OK2018-10-12
200 OK2018-10-09
200 OK2018-10-05
200 OK2018-10-02
200 OK2018-09-28
200 OK2018-09-25
200 OK2018-09-21
200 OK2018-09-18
200 OK2018-09-14
200 OK2018-09-11
200 OK2018-09-07
200 OK2018-09-04
200 OK2018-08-31
200 OK2018-08-28
200 OK2018-08-24
200 OK2018-08-21
200 OK2018-08-17
200 OK2018-08-14
200 OK2018-08-10
200 OK2018-08-07
200 OK2018-08-03
200 OK2018-07-31
200 OK2018-07-27
200 OK2018-07-24
200 OK2018-07-20
200 OK2018-07-17
200 OK2018-07-13
200 OK2018-07-10
200 OK2018-07-06
200 OK2018-07-03
200 OK2018-06-29
200 OK2018-06-26
200 OK2018-06-22
200 OK2018-06-19
200 OK2018-06-15
200 OK2018-06-12
200 OK2018-06-08
200 OK2018-06-05
200 OK2018-06-01
200 OK2018-05-29
200 OK2018-05-25
200 OK2018-05-22
200 OK2018-05-18
200 OK2018-05-15
200 OK2018-05-11
200 OK2018-05-08
200 OK2018-05-04
200 OK2018-05-01
200 OK2018-04-27
200 OK2018-04-24
200 OK2018-04-20
200 OK2018-04-17
200 OK2018-04-13
200 OK2018-04-10
200 OK2018-04-06
200 OK2018-04-03
200 OK2018-02-27
200 OK2018-02-23
200 OK2018-02-20
200 OK2018-02-16
200 OK2018-02-13
200 OK2018-02-09
200 OK2018-02-06
200 OK2018-02-02
200 OK2018-01-30
200 OK2018-01-26
200 OK2018-01-23
200 OK2018-01-19
200 OK2018-01-16
200 OK2018-01-12
200 OK2018-01-09
200 OK2018-01-05
200 OK2018-01-02
200 OK2017-12-29
200 OK2017-12-26
200 OK2017-12-22
200 OK2017-12-19
200 OK2017-12-15
200 OK2017-12-12
200 OK2017-12-08
200 OK2017-12-05
200 OK2017-12-01
200 OK2017-11-28
200 OK2017-11-24
200 OK2017-11-21
200 OK2017-11-17
200 OK2017-11-14
200 OK2017-11-10
200 OK2017-11-07
200 OK2017-11-03
200 OK2017-10-31
200 OK2017-10-27
200 OK2017-10-24
200 OK2017-10-20
200 OK2017-10-17
200 OK2017-10-13
200 OK2017-10-10
200 OK2017-10-06
200 OK2017-10-03
200 OK2017-09-29
200 OK2017-09-26
200 OK2017-09-22
200 OK2017-09-19
200 OK2017-09-15
200 OK2017-09-12
200 OK2017-09-08
200 OK2017-09-05
200 OK2017-09-01
200 OK2017-08-29
200 OK2017-08-25
200 OK2017-08-22
200 OK2017-08-18
200 OK2017-08-15
200 OK2017-08-11
200 OK2017-08-08
200 OK2017-08-04
200 OK2017-08-01
200 OK2017-07-28
200 OK2017-07-25
200 OK2017-07-21
200 OK2017-07-18
200 OK2017-07-14
200 OK2017-07-04
200 OK2017-06-30
200 OK2017-06-27
200 OK2017-06-23
200 OK2017-06-20
200 OK2017-06-16
200 OK2017-06-13
200 OK2017-06-09
200 OK2017-06-06
200 OK2017-06-02
200 OK2017-05-30
200 OK2017-05-26
200 OK2017-05-23
200 OK2017-05-19
200 OK2017-05-16
200 OK2017-05-12
200 OK2017-05-09
200 OK2017-05-05
200 OK2017-05-02
200 OK2017-04-28
200 OK2017-04-25
200 OK2017-04-21
200 OK2017-04-18
200 OK2017-04-14
200 OK2017-04-11
200 OK2017-04-07
200 OK2017-04-04
200 OK2017-03-31
200 OK2017-03-28
200 OK2017-03-24
200 OK2017-03-21
200 OK2017-03-17
200 OK2017-03-14
200 OK2017-03-10
200 OK2017-03-07
200 OK2017-03-03
200 OK2017-02-28
200 OK2017-02-24
200 OK2017-02-21
200 OK2017-02-17
200 OK2017-02-14
200 OK2017-02-10
200 OK2017-02-07
200 OK2017-02-03
200 OK2017-01-31
200 OK2017-01-27
200 OK2017-01-24
200 OK2017-01-20
200 OK2017-01-17
200 OK2017-01-13
200 OK2017-01-10
200 OK2017-01-06
200 OK2017-01-03
200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
200 OK2016-12-09
200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
200 OK2016-11-25
200 OK2016-11-22
200 OK2016-11-18
200 OK2016-11-15
200 OK2016-11-11
200 OK2016-11-08
200 OK2016-11-04
200 OK2016-11-01
200 OK2016-10-28
200 OK2016-10-25
200 OK2016-10-21
200 OK2016-10-18
200 OK2016-10-14
200 OK2016-10-11
200 OK2016-10-07
200 OK2016-10-04
200 OK2016-09-30
200 OK2016-09-27
200 OK2016-09-23
200 OK2016-09-20
200 OK2016-09-16
200 OK2016-09-13
200 OK2016-09-09
200 OK2016-09-06
200 OK2016-09-02
200 OK2016-08-30
200 OK2016-08-26
200 OK2016-08-23
200 OK2016-08-19
200 OK2016-08-16
200 OK2016-08-12
200 OK2016-08-09
200 OK2016-08-05
200 OK2016-08-02
200 OK2016-07-29
200 OK2016-07-26
200 OK2016-07-22
200 OK2016-07-19
200 OK2016-07-15
200 OK2016-07-12
200 OK2016-07-08
200 OK2016-07-05
200 OK2016-07-01
200 OK2016-06-28
200 OK2016-06-24
200 OK2016-06-21
200 OK2016-06-17
200 OK2016-06-14
200 OK2016-06-10
200 OK2016-06-07
200 OK2016-06-03
200 OK2016-05-31
200 OK2016-05-27
200 OK2016-05-24
200 OK2016-05-20
200 OK2016-05-17
200 OK2016-05-13
200 OK2016-05-10
200 OK2016-05-06
200 OK2016-05-03
200 OK2016-04-29
200 OK2016-04-26
200 OK2016-04-22
200 OK2016-04-19
200 OK2016-04-15
200 OK2016-04-12
200 OK2016-04-08
200 OK2016-04-05
200 OK2016-04-01
200 OK2016-03-29
200 OK2016-03-28
200 OK2016-03-25
200 OK2016-03-23
200 OK2016-03-21
200 OK2016-03-18
200 OK2016-03-16
200 OK2016-03-14
200 OK2016-03-11
200 OK2016-03-09
200 OK2016-03-07
200 OK2016-03-04
200 OK2016-03-02
200 OK2016-02-29
200 OK2016-02-26
200 OK2016-02-24
200 OK2016-02-22
200 OK2016-02-19
200 OK2016-02-17
200 OK2016-02-15
200 OK2016-02-14
200 OK2016-02-12
200 OK2016-02-10
200 OK2016-02-08
200 OK2016-02-07
200 OK2016-02-05
200 OK2016-02-03
200 OK2016-02-01
200 OK2016-01-31
200 OK2016-01-29
200 OK2016-01-27
200 OK2016-01-25
200 OK2016-01-24
200 OK2016-01-22
200 OK2016-01-20
200 OK2016-01-18
200 OK2016-01-17
200 OK2016-01-15
200 OK2016-01-13
200 OK2016-01-11
200 OK2016-01-10
200 OK2016-01-08
200 OK2016-01-06
200 OK2016-01-04

Tags

DNA RNA
Homo sapiens
comprehensive human gene

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Chunlei Yu [2016-04-17]
    • Zhang Zhang [2016-04-06]
    • Chunlei Yu [2016-03-31]
    • Chunlei Yu [2015-11-19]
    • Chunlei Yu [2015-06-26]
Stats