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Methodologies for Analyzing Biological Networks with a Focus on Drug-Drug Interactions, Drug-Disease Associations, and C..
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001
AA00002421_00001
005
20210615155508.0
006
m^^^^^o^^^^^^^^^^^
007
cr^^n^---ma^mp
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210615n^^^^^^^^xx^^^^^^s^^^^^^^^^^^eng^d
245
00
|a
Methodologies for Analyzing Biological Networks with a Focus on Drug-Drug Interactions, Drug-Disease Associations, and Chemical-Disease Associations
|h
[electronic resource].
260
|a
Edison, NJ :
|b
Middlesex College,
|c
2018 December 12.
490
|a
Student Symposium 2018.
520
3
|a
The molecules in a biological system interact with each other to form molecular complexes, modules or pathways that carry out various biological functions. High-throughput research techniques have generated enormous amounts of data on many biological networks. The challenge now is to interpret the large volume of data and extract relevant information that could be used to improve healthcare and pharmaceuticals. Online repositories, such as KEGG, Reactome, CTD, Drugbank, and many more host a massive amount of data that can be readily represented as a network and then analyzed. Cytoscape is a free software platform that allows the investigation and visualization of integrated diverse networks. It is adaptable and expandable with over 300 applications that can be incorporated for numerous research requirements. Using Cytoscape to study biological networks, begins with building a combined network for the topic of interest and mapping the curated network for analysis. Being able to visualize combined and curateddata allows the researcher to understand and evaluate targeted information that would otherwise be cluttered in multiple massive networks. In this study, we have looked at drug-drug interaction networks and drug-disease associations networks. These biological networks display the potential cross-reaction between drugs and give a visual representation of the side effects of some common drugs
533
|a
Electronic reproduction.
|c
Middlesex County College Institution,
|d
2021.
|f
(Middlesex County College)
|n
Mode of access: World Wide Web.
|n
System requirements: Internet connectivity; Web browser software.
535
1
|a
Middlesex County College Institution.
648
|a
2018-2019
|y
Academic Year 2018-2019.
650
0
|a
College students -- poster presentations.
650
0
|a
Student Works -- Natural Sciences -- poster presentations.
650
0
|a
Chemistry.
650
0
|a
Biochemistry.
650
|a
Middlesex College (Edison, NJ) -- Student works.
650
0
|a
Middlesex County College (Edison, NJ).
700
1
|a
Eighmey, Ariel,
|e
author, primary.
700
1
|a
Ghosh, Phalguni,
|e
advisor.
700
|a
Middlesex College, Department of Natural Sciences.
|4
spn
830
0
|a
Middlesex County College.
830
0
|a
Student Symposium.
830
0
|a
Student Works.
852
|a
MCC
|c
Student Symposium
856
40
|u
http://middlesexcc.sobeklibrary.com/AA00002421/00001
|y
Electronic Resource
992
04
|a
https:/digital.middlesexcc.edu/content/AA/00/00/24/21/00001/Thesis - Ariel Eighmey-Big Data Analysis -5-7-2019thm.jpg
997
|a
Student Symposium
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