Visual presentation as a welcome alternative to textual presentation of gene annotation information.
The functions of a gene are traditionally annotated textually using either free text (Gene Reference Into Function or GeneRIF) or controlled vocabularies (e.g., Gene Ontology or Disease Ontology). Inspired by the latest word cloud tools developed by the Information Visualization Group at IBM Research, we have prototyped a visual system for capturing gene annotations, which we named Gene Graph Into Function or GeneGIF. Fully developing the GeneGIF system would be a significant effort. To justify the necessity and to specify the design requirements of GeneGIF, we first surveyed the end-user preferences. From 53 responses, we found that a majority (64%, p < 0.05) of the users were either positive or neutral toward using GeneGIF in their daily work (acceptance); in terms of preference, a slight majority (51%, p > 0.05) of the users favored visual presentation of information (GeneGIF) compared to textual (GeneRIF) information. The results of this study indicate that a visual presentation tool, such as GeneGIF, can complement standard textual presentation of gene annotations. Moreover, the survey participants provided many constructive comments that will specify the development of a phase-two project (http://128.248.174.241/) to visually annotate each gene in the human genome.
Desai
Jairav
J
The Biomedical Informatics Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Flatow
Jared M
JM
Song
Jie
J
Zhu
Lihua J
LJ
Du
Pan
P
Huang
Chiang-Ching
CC
Lu
Hui
H
Lin
Simon M
SM
Kibbe
Warren A
WA
D000465:Algorithms; D019295:Computational Biology; D003196:Computer Graphics; D003625:Data Collection; D030541:Databases, Genetic; D006801:Humans; D058977:Molecular Sequence Annotation / Q000706:statistics & numerical data*; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled