Dissertação de Mestrado em computação gráfica

Contato

Publicado em: 21/10/2013

UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL

INSTITUTO DE INFORMÁTICA

PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃO

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DEFESA DE DISSERTAÇÃO DE MESTRADO

Aluno: Rafael Henkin

Orientadora: Profa. Dra. Carla Maria Dal Sasso Freitas

Título: A study on visual analysis of georeferenced haplotype networks

Linha de Pesquisa: Computação Gráfica

Data: 23/10/2013

Hora: 10h

Local: Auditório Inferior. Prédio 43413(67) – Instituto de Informática

Banca Examinadora:

Profa. Dra. Isabel Harb Manssour (PUCRS)

Profa. Dra. Helena Graziottin Ribeiro (UCS)

Prof. Dr. Marcelo Soares Pimenta (UFRGS)

Presidente da Banca: Profa. Dra. Carla Maria Dal Sasso Freitas

Resumo:

This dissertation presents an interface for the visual analysis of georeferenced haplotype networks, which are specialized graphs used in biological evolutionary studies. The haplotype networks are generated from DNA obtained from specimens collected in field work. The interface extends a system called TaxonomyBrowser, which fully supports specimen data used in biodiversity and evolution research. Before this system was created, our collaborating scientists needed to manage multiple spreadsheets with different formats, whereas with the data management solution, all needed data will be inside the system.

The other part of the solution is the presented interface, which solves the visual analytics issue. The interface contains the visualization of the haplotype network and three other interactive techniques: a minimum spanning tree extracted from the network, a parallel coordinates plot and a bar and line chart. These visualizations are related to a map where location markers for the collected specimens are drawn.

The visualization techniques were validated through an experiment with expert users, which included practical questions and a qualitative questionnaire. All techniques were successfully validated, with suggestions of improvements for some aspects of the interface.

Palavras-chave: Information visualization, interaction, visual analytics, computer graphics.

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Divulgação PPGC

UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL
INSTITUTO DE INFORMÁTICA
PROGRAMA DE PÓS-GRADUAÇÃO EM COMPUTAÇÃO
———————————————————
DEFESA DE DISSERTAÇÃO DE MESTRADO

Aluno: Rafael Henkin
Orientadora: Profa. Dra. Carla Maria Dal Sasso Freitas
Título: A study on visual analysis of georeferenced haplotype networks Linha de Pesquisa: Computação Gráfica

Data: 23/10/2013
Hora: 10h
Local: Auditório Inferior. Prédio 43413(67) – Instituto de Informática

Banca Examinadora:
Profa. Dra. Isabel Harb Manssour (PUCRS)
Profa. Dra. Helena Graziottin Ribeiro (UCS)
Prof. Dr. Marcelo Soares Pimenta (UFRGS)

Presidente da Banca: Profa. Dra. Carla Maria Dal Sasso Freitas

Resumo:This dissertation presents an interface for the visual analysis of georeferenced haplotype networks, which are specialized graphs used in biological evolutionary studies. The haplotype networks are generated from DNA obtained from specimens collected in field work. The interface extends a system called TaxonomyBrowser, which fully supports specimen data used in biodiversity and evolution research. Before this system was created, our collaborating scientists needed to manage multiple spreadsheets with different formats, whereas with the data management solution, all needed data will be inside the system.
The other part of the solution is the presented interface, which solves the visual analytics issue. The interface contains the visualization of the haplotype network and three other interactive techniques: a minimum spanning tree extracted from the network, a parallel coordinates plot and a bar and line chart. These visualizations are related to a map where location markers for the collected specimens are drawn.
The visualization techniques were validated through an experiment with expert users, which included practical questions and a qualitative questionnaire. All techniques were successfully validated, with suggestions of improvements for some aspects of the interface.

Palavras-chave: Information visualization, interaction, visual analytics, computer graphics.