Treffer: YAdumper: extracting and translating large information volumes from relational databases to structured flat files.
Title:
YAdumper: extracting and translating large information volumes from relational databases to structured flat files.
Authors:
Fernández JM; Protein Design Group, National Center for Biotechnology, CNB-CSIC Cantoblanco, Madrid 28049, Spain. jmfernandez@cnb.uam.es, Valencia A
Source:
Bioinformatics (Oxford, England) [Bioinformatics] 2004 Oct 12; Vol. 20 (15), pp. 2455-7. Date of Electronic Publication: 2004 Apr 29.
Publication Type:
Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1367-4803 (Print) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Imprint Name(s):
Original Publication: Oxford : Oxford University Press, c1998-
MeSH Terms:
Entry Date(s):
Date Created: 20040501 Date Completed: 20050210 Latest Revision: 20191210
Update Code:
20250114
DOI:
10.1093/bioinformatics/bth243
PMID:
15117748
Database:
MEDLINE
Weitere Informationen
Downloading the information stored in relational databases into XML and other flat formats is a common task in bioinformatics. This periodical dumping of information requires considerable CPU time, disk and memory resources. YAdumper has been developed as a purpose-specific tool to deal with the integral structured information download of relational databases. YAdumper is a Java application that organizes database extraction following an XML template based on an external Document Type Declaration. Compared with other non-native alternatives, YAdumper substantially reduces memory requirements and considerably improves writing performance.