H-InvDB in 2013: An omics study platform for human functional gene and transcript discovery

Jun Ichi Takeda, Chisato Yamasaki, Katsuhiko Murakami, Yoko Nagai, Miho Sera, Yuichiro Hara, Nobuo Obi, Takuya Habara, Takashi Gojobori, Tadashi Imanishi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

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 43829 gene loci, including nonprotein-coding ones, were identified. Of these loci, 35631 were identified as potential protein-coding genes, and 22898 of these were identical to known genes. In our analysis, 19309 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.

Original languageEnglish (US)
Pages (from-to)D915-D919
JournalNUCLEIC ACIDS RESEARCH
Volume41
Issue numberD1
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

Bibliographical note

Funding Information:
National Institute of Advanced Industrial Science and Technology (AIST) and the life science database project of the Ministry of Economy, Trade, and Industry (METI) of Japan. Funding for open access charge: AIST.

ASJC Scopus subject areas

  • Genetics

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