Paper Info
Title
Browsing Large Pedigrees to Study of the Isolated Populations in the "Parco Nazionale del Cilento e Vallo di Diano
Abstract
The paper reports a flow analysis framework for data exploration, knowledge discovery and visualization of large-scale Pedigrees represented as directed graphs. Indeed, when large Pedigrees axe involved in biological studies researchers need to interact with multiple tools such as databases (storing genetic as well as phenotype information), graph browsers, graph visualization tools, etc. We have already collected the last three centuries genealogical data of the population in the villages of Campora and Gioi, situated on the hills and mountains of the National Park of Cilento and Vallo of Diano, an area in the Southern Italy. At the present the villages have a population of 600 and 1200 residents respectively. The size of the today population as well as the collected genealogy requires sophisticated Software methods to support the storage, the handling, the analysis and the visualization of the data. In particular, visualization may become an impossible task when large Pedigrees need to be represented and browsed: very often the result is a screen cluttered by to much information. The amount of collected information requires reliable and powerful software tools. The paper describes the key elements we are organizing into a Software system allowing to analyze, manage and visualize the large Pedigree. In particular, we report the structure of a database, the main framework inspired by flow analysis to extract properties from the pedigrees and a preliminary visualization tool based on GraphWiz the ATT graph visualization environment which allows to use applet to display graphs into WEB browser.
Year
DOI
Venue
2003
10.1007/978-3-540-45216-4_29
Lecture Notes in Computer Science
Keywords
Field
DocType
flow analysis,graph visualization,genetics,directed graph,software systems
Graph drawing,Data mining,Computer science,Artificial intelligence,Graph,Data visualization,Data exploration,Information retrieval,Visualization,Pedigree chart,Directed graph,Knowledge extraction,Machine learning
Conference
Volume
ISSN
Citations 
2859
0302-9743
0
PageRank 
References 
Authors
0.34
14
12
Name
Order
Citations
PageRank
giuliano antoniol13287186.05
Michele Ceccarelli237732.18
Vincenzo Fabio Rollo3662.81
Wanda Longo400.34
Teresa Nutile500.34
Marina Ciullo600.34
Enza Colonna700.34
Antonietta Calabria800.34
Maria Astore900.34
Anna Lembo1000.34
Paola Toriello1100.34
M. Grazia Persico1200.34