Visual data mining of biological networks: one size does not fit all.
High-throughput technologies produce massive amounts of data. However, individual methods yield data specific to the technique used and biological setup. The integration of such diverse data is necessary for the qualitative analysis of information relevant to hypotheses or discoveries. It is often useful to integrate these datasets using pathways and protein interaction networks to get a broader view of the experiment. The resulting network needs to be able to focus on either the large-scale picture or on the more detailed small-scale subsets, depending on the research question and goals. In this tutorial, we illustrate a workflow useful to integrate, analyze, and visualize data from different sources, and highlight important features of tools to support such analyses.
CRO Aviano, National Cancer Institute, Aviano, Italy.
Chiara
C
Pastrello
David
D
Otasek
Kristen
K
Fortney
Giuseppe
G
Agapito
Mario
M
Cannataro
Elize
E
Shirdel
Igor
I
Jurisica
D000375:Aging / Q000235:genetics; D019295:Computational Biology; D006801:Humans; D016247:Information Storage and Retrieval; D009369:Neoplasms / Q000235:genetics / Q000473:pathology; D014785:Vision, Ocular