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PMID: 15977173 Published · ppublish English Journal Article

LOVD: easy creation of a locus-specific sequence variation database using an "LSDB-in-a-box" approach.

Human mutation ·Vol. 26 ·No. 2 ·2005-08-00 ·Pages 63-8

Fokkema IF, den Dunnen JT, Taschner PE

Abstract

The completion of the human genome project has initiated, as well as provided the basis for, the collection and study of all sequence variation between individuals. Direct access to up-to-date information on sequence variation is currently provided most efficiently through web-based, gene-centered, locus-specific databases (LSDBs). We have developed the Leiden Open (source) Variation Database (LOVD) software approaching the "LSDB-in-a-Box" idea for the easy creation and maintenance of a fully web-based gene sequence variation database. LOVD is platform-independent and uses PHP and MySQL open source software only. The basic gene-centered and modular design of the database follows the recommendations of the Human Genome Variation Society (HGVS) and focuses on the collection and display of DNA sequence variations. With minimal effort, the LOVD platform is extendable with clinical data. The open set-up should both facilitate and promote functional extension with scripts written by the community. The LOVD software is freely available from the Leiden Muscular Dystrophy pages (www.DMD.nl/LOVD/). To promote the use of LOVD, we currently offer curators the possibility to set up an LSDB on our Leiden server.

MeSH Terms
Computational Biology/methods Databases, Genetic Databases, Nucleic Acid Genetic Variation Genome, Human Humans Internet Muscular Dystrophies/genetics Programming Languages Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Fokkema Ivo F A C
Center of Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands.
den Dunnen Johan T
Taschner Peter E M
Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2005-08-00
Pages
63-8
Language
English
Region
United States
NLM ID
9215429
Subset
IM
Analysis Services
Analysis Services

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