Browsing large pedigrees to study of the isolated populations in the "Parco Nazionale del Cilento e Vallo di Diano"

Giuliano Antoniol, Michele Ceccarelli, Fabio Rollo, Wanda Longo, Teresa Nutile, Marina Ciullo, Enza Colonna, Antonietta Calabria, Maria Astore, Anna Lembo, Paola Toriello, M. Grazia Persico

Research output: Contribution to journalArticle

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 are involved in biological studies researchers need to interact with multiple took 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.

Original languageEnglish
Pages (from-to)258-268
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2859
Publication statusPublished - 1 Dec 2003
Externally publishedYes

Fingerprint

Pedigree
del operator
Browsing
Visualization
Software
Population
Graph in graph theory
Genetic Databases
Genealogy and Heraldry
Genealogy
Population Density
Directed graphs
Italy
Knowledge Discovery
Software Tools
Phenotype
Directed Graph
Software System
Data mining
Research Personnel

Keywords

  • Databases
  • Flow analysis
  • Large Pedigrees

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science
  • Engineering(all)

Cite this

Browsing large pedigrees to study of the isolated populations in the "Parco Nazionale del Cilento e Vallo di Diano". / Antoniol, Giuliano; Ceccarelli, Michele; Rollo, Fabio; Longo, Wanda; Nutile, Teresa; Ciullo, Marina; Colonna, Enza; Calabria, Antonietta; Astore, Maria; Lembo, Anna; Toriello, Paola; Persico, M. Grazia.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2859, 01.12.2003, p. 258-268.

Research output: Contribution to journalArticle

Antoniol, Giuliano ; Ceccarelli, Michele ; Rollo, Fabio ; Longo, Wanda ; Nutile, Teresa ; Ciullo, Marina ; Colonna, Enza ; Calabria, Antonietta ; Astore, Maria ; Lembo, Anna ; Toriello, Paola ; Persico, M. Grazia. / Browsing large pedigrees to study of the isolated populations in the "Parco Nazionale del Cilento e Vallo di Diano". In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2003 ; Vol. 2859. pp. 258-268.
@article{b4c92b35e1f24750bb46e7375672a9d8,
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 are involved in biological studies researchers need to interact with multiple took 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.",
keywords = "Databases, Flow analysis, Large Pedigrees",
author = "Giuliano Antoniol and Michele Ceccarelli and Fabio Rollo and Wanda Longo and Teresa Nutile and Marina Ciullo and Enza Colonna and Antonietta Calabria and Maria Astore and Anna Lembo and Paola Toriello and Persico, {M. Grazia}",
year = "2003",
month = "12",
day = "1",
language = "English",
volume = "2859",
pages = "258--268",
journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
issn = "0302-9743",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - Browsing large pedigrees to study of the isolated populations in the "Parco Nazionale del Cilento e Vallo di Diano"

AU - Antoniol, Giuliano

AU - Ceccarelli, Michele

AU - Rollo, Fabio

AU - Longo, Wanda

AU - Nutile, Teresa

AU - Ciullo, Marina

AU - Colonna, Enza

AU - Calabria, Antonietta

AU - Astore, Maria

AU - Lembo, Anna

AU - Toriello, Paola

AU - Persico, M. Grazia

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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 are involved in biological studies researchers need to interact with multiple took 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.

AB - 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 are involved in biological studies researchers need to interact with multiple took 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.

KW - Databases

KW - Flow analysis

KW - Large Pedigrees

UR - http://www.scopus.com/inward/record.url?scp=0142156568&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0142156568&partnerID=8YFLogxK

M3 - Article

VL - 2859

SP - 258

EP - 268

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SN - 0302-9743

ER -