Computer as Thinker/Doer: Problem-Solving Environments for Computational Science
IEEE Computational Science & Engineering
PQuad: Visualization of Predicted Peptides and Proteins
VIS '04 Proceedings of the conference on Visualization '04
An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
IEEE Transactions on Visualization and Computer Graphics
Visualizing biological pathways: requirements analysis, systems evaluation and research agenda
Information Visualization - Special issue: Bioinformatics visualization
Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
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Fusing computing and biology expertise, bioinformatics software provides a powerful tool for organizing and mining the vast amounts of data genetics researchers are accumulating. Biology has increasingly become a data driven science. The emergence of highthroughputdata acquisition technologies for investigating biological phenomena has been an important factor in this process. For example, the recent completion of the human, rice, and flowering plant Arabidopsis thaliana genome maps signifies a major milestone in data acquisition.The development of novel algorithms and databases to catalog, organize, harness, and mine theincreasing amount of data such research efforts generate has also been important. The potential for scientists to infer significant biological knowledge computationally from a desktop is both appealing and real. In this issue, we gather perspectives, articles,and reports to showcase the emergence of bioinformatics software as a discipline in its own right. The "Molecular Biology for Computer Scientists" sidebar provides some pertinent background information.