Graphs in Bioinformatics

10.1002/9780470892107.ch10

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Bibliographic Details
Main Authors:	Chacko, E., Ranganathan, S.
Other Authors:	BIOCHEMISTRY
Format:	Others
Published:	2014
Subjects:	Biological sequence analysis - graphs in bioinformatics Graphs and biological world - language of graph theory, mathematical abstraction for description of relationships involved in molecular biology Graphs, ways of representing relationship between entities - innovation in finding new algorithms, and different problems in everyday life
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/109789
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Institution:	National University of Singapore

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