Journal
PLOS COMPUTATIONAL BIOLOGY
Volume 9, Issue 1, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1002833
Keywords
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Funding
- Ontario Research Fund [GL2-01-030]
- Canada Foundation for Innovation (CFI) [12301, 203373, 29272]
- Ontario Ministry of Health and Long Term Care
- Friuli Exchange Program
- Canada Research Chair Program (CRC) [203373, 225404]
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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.
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