Visual Data Mining of Biological Networks: One Size Does Not Fit All

被引:12
作者
Pastrello, Chiara [1 ,2 ,3 ]
Otasek, David [2 ,3 ]
Fortney, Kristen [2 ,3 ]
Agapito, Giuseppe [2 ,3 ,4 ]
Cannataro, Mario [4 ]
Shirdel, Elize [2 ,3 ]
Jurisica, Igor [2 ,3 ,5 ,6 ]
机构
[1] Natl Canc Inst, CRO Aviano, Aviano, Italy
[2] Univ Hlth Network, Campbell Family Inst Canc Res, Ontario Canc Inst, Toronto, ON, Canada
[3] Univ Hlth Network, Techna Inst, Toronto, ON, Canada
[4] Magna Graecia Univ Catanzaro, Dept Med & Surg Sci, Catanzaro, Italy
[5] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[6] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
基金
加拿大创新基金会;
关键词
CELL-CYCLE CONTROL; PROTEIN INTERACTIONS; REGULATORY NETWORKS; CANCER; REPAIR; ACTIVATION; DISCOVERY; RESOURCE; EXCHANGE; HMGA1;
D O I
10.1371/journal.pcbi.1002833
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:6
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