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Marta Farre

dblp:190/2311 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 87% Computing education · 13%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics
0.312017
Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution · IEEE Trans. Vis. Comput. Graph. 2017
Bioinformatics and computational biology › comparative genomics
synteny analysis
0.312017
Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution · IEEE Trans. Vis. Comput. Graph. 2017
Visualization and visual analytics
biological data visualization
0.312017
Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution · IEEE Trans. Vis. Comput. Graph. 2017

Methods — techniques the papers use, named apart from their topics

user study · 0.6karyogram-based visualization · 0.6
YearPublicationVenuePosition
2017 Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution
abstract
Rapid advances in biology demand new tools for more active research dissemination and engaged teaching. This paper presents Synteny Explorer, an interactive visualization application designed to let college students explore genome evolution of mammalian species. The tool visualizes synteny blocks: segments of homologous DNA shared between various extant species that can be traced back or reconstructed in extinct, ancestral species. We take a karyogram-based approach to create an interactive synteny visualization, leading to a more appealing and engaging design for undergraduate-level genome evolution education. For validation, we conduct three user studies: two focused studies on color and animation design choices and a larger study that performs overall system usability testing while comparing our karyogram-based designs with two more common genome mapping representations in an educational context. While existing views communicate the same information, study participants found the interactive, karyogram-based views much easier and likable to use. We additionally discuss feedback from biology and genomics faculty, who judge Synteny Explorer's fitness for use in classrooms.
Chris Bryan, Gregory Guterman, Kwan-Liu Ma, Harris A. Lewin, Denis M. Larkin, Jaebum Kim, Jian Ma 0004, Marta Farre
IEEE Trans. Vis. Comput. Graph.8