PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 9697222

DBGET/LinkDB: an integrated database retrieval system.

W Fujibuchi·S Goto·H Migimatsu·I Uchiyama·A Ogiwara·Y Akiyama·M Kanehisa
View original source ↗Export metadata ↓

Abstract

The integrated database retrieval system DBGET/LinkDB is the backbone of the Japanese GenomeNet service. DBGET is used to search and extract entries from a wide range of molecular biology databases, while LinkDB is used to search and compute links between entries in different databases. DBGET/LinkDB is designed to be a network distributed database system with an open architecture, which is suitable for incorporating local databases or establishing a specialized server environment. It also has an advantage of simple architecture allowing rapid daily updates of all the major databases. The WWW version of DBGET/LinkDB at GenomeNet is integrated with other search tools, such as BLAST, FASTA and MOTIF, and with local helper applications, such as RasMol. In addition to factual links between database entries, LinkDB is being extended to included similarity links and biological links toward computerization of logical reasoning processes.

Explore related subjects

Databases, FactualGenomeHumansInformation SystemsInternetJapanMolecular BiologySoftwareJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

W Fujibuchi, S Goto, H Migimatsu, I Uchiyama, A Ogiwara, Y Akiyama, M Kanehisa. 1998. DBGET/LinkDB: an integrated database retrieval system.. https://pubmed.ncbi.nlm.nih.gov/9697222/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Performance of the FearID earprint identification system.

The Forensic Ear Identification (FearID) research project was started in order to study the strength of evidence of earprints found on crime scenes. For this purpose, a sample of earprints from 1229 donors over three countries was collected. From each donor three left and three right earprints were gathered. On the one hand, operators denoted contours of the earprints to facilitate segmentation of the images, on the other anthropological specialists denoted anatomically specific locations. On the basis of this, methods for automated classification were developed and used for training of a system that classifies pairs of prints as 'matching' or 'non-matching'. Comparing lab quality prints, the system has an equal error rate of 4%. Starting from a reference database containing two prints per ear, hitlist behaviour is such that in 90% of all query searches the best hit is in the top 0.1% of the list. The results become less favourable (equal error rate of 9%) for print/mark comparisons.

Databases, Factual↗
PubMed2007

Normal limits of ejection fraction and volumes determined by gated SPECT in clinically normal patients without cardiac events: a study based on the J-ACCESS database.

PURPOSE: Quantitative gated single-photon emission computed tomography (SPECT) is known to have high accuracy and precision for measurement of the principal cardiac functional parameters. We hypothesised that normal values for EF and LV volumes may differ among nationalities, and that optimal threshold values specific to the study population are required. METHODS: Among 4,670 consecutively registered patients for a J-ACCESS (Japanese investigation regarding prognosis based on gated SPECT) study from 117 hospitals, a total of 268 (149 women, 119 men) were selected who had no baseline cardiac diseases and had experienced no cardiac events during the preceding 3-year period. A gated SPECT study was performed with 99mTc-tetrofosmin and analysed with Cedars Sinai Medical Center's quantitative gated SPECT (QGS) software. The results in respect of ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV) and stroke volume (SV), and EDV, ESV and SV normalised by body surface area (EDVI, ESVI and SVI), were calculated and summarised to obtain normal limits. RESULTS: EF for women and men was 74 +/- 9% and 63 +/- 7%, respectively (p < 0.0001). EDV, ESV and SV were significantly smaller in women than in men. Based on multiple regressions for linear models, the primary and secondary predictors of EF, EDVI, ESVI were gender and age. By stepwise multiple regression analysis, a statistically significant third predictor for EDV, ESV, SV and SVI was body weight. No colinearity was found between age and body weight. Important factors for the studied Japanese population included a high incidence of small hearts in women and the relatively advanced age of the population (the mean age +/-SD was 64.1 +/- 10.0 years for women and 60.9 +/- 11.7 years for men). CONCLUSION: EF and volumes determined by gated SPECT with QGS were significantly affected by gender and age, with body weight as a third predictor for volumes. Moreover, the normal limits were so specific for the population studied that standards appropriate for the study in question should be utilised.

Databases, Factual↗