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

id	sg-nus-scholar.10635-109789
record_format	dspace
spelling	sg-nus-scholar.10635-1097892015-01-14T18:42:04Z Graphs in Bioinformatics Chacko, E. Ranganathan, S. BIOCHEMISTRY 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 10.1002/9780470892107.ch10 Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications 191-219 2014-11-26T07:50:00Z 2014-11-26T07:50:00Z 2010-12-23 Others Chacko, E.,Ranganathan, S. (2010-12-23). Graphs in Bioinformatics. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications : 191-219. ScholarBank@NUS Repository. <a href="https://doi.org/10.1002/9780470892107.ch10" target="_blank">https://doi.org/10.1002/9780470892107.ch10</a> 9780470505199 http://scholarbank.nus.edu.sg/handle/10635/109789 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	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
spellingShingle	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 Chacko, E. Ranganathan, S. Graphs in Bioinformatics
description	10.1002/9780470892107.ch10
author2	BIOCHEMISTRY
author_facet	BIOCHEMISTRY Chacko, E. Ranganathan, S.
format	Others
author	Chacko, E. Ranganathan, S.
author_sort	Chacko, E.
title	Graphs in Bioinformatics
title_short	Graphs in Bioinformatics
title_full	Graphs in Bioinformatics
title_fullStr	Graphs in Bioinformatics
title_full_unstemmed	Graphs in Bioinformatics
title_sort	graphs in bioinformatics
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/109789
_version_	1681094032448552960

Graphs in Bioinformatics

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