Please use this identifier to cite or link to this item: https://doi.org/10.1002/9780470892107.ch10
Title: Graphs in Bioinformatics
Authors: Chacko, E.
Ranganathan, S. 
Keywords: 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
Issue Date: 23-Dec-2010
Citation: Chacko, E.,Ranganathan, S. (2010-12-23). Graphs in Bioinformatics. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications : 191-219. ScholarBank@NUS Repository. https://doi.org/10.1002/9780470892107.ch10
Source Title: Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/109789
ISBN: 9780470505199
DOI: 10.1002/9780470892107.ch10
Appears in Collections:Staff Publications

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