PedVizApi: a Java API for the interactive, visual analysis of extended pedigrees

PedVizApi is a Java API (application program interface) for the visual analysis of large and complex pedigrees. It provides all the necessary functionality for the interactive exploration of extended genealogies. While available packages are mostly focused on a static representation or cannot be add...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Bioinformatics Ročník 24; číslo 2; s. 279 - 281
Hlavní autori: Fuchsberger, Christian, Falchi, Mario, Forer, Lukas, Pramstaller, Peter P.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Oxford University Press 15.01.2008
Oxford Publishing Limited (England)
Predmet:
Algorithms
Biological and medical sciences
Computer Graphics
Fundamental and applied biological sciences. Psychology
General aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Models, Genetic
Pedigree
Programming Languages
Software
User-Computer Interface
Pedigree
Bioinformatics
JAVA language
ISSN:1367-4803, 1367-4811, 1460-2059, 1367-4811
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:PedVizApi is a Java API (application program interface) for the visual analysis of large and complex pedigrees. It provides all the necessary functionality for the interactive exploration of extended genealogies. While available packages are mostly focused on a static representation or cannot be added to an existing application, PedVizApi is a highly flexible open source library for the efficient construction of visual-based applications for the analysis of family data. An extensive demo application and a R interface is provided. Availability: http://www.pedvizapi.org Contact: christian.fuchsberger@eurac.edu
Bibliografia:To whom correspondence should be addressed.
istex:D71CD84573D7BDA72403B23607C6BC3F7EEBA828
Associate Editor: Keith Crandall
ark:/67375/HXZ-0ZV9G6FF-3
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:1367-4803
1367-4811
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btm577