DocumentCode
2890042
Title
Chronology-Sensitive Hierarchical Clustering of Pyrosequenced DNA Samples of E. coli: A Case Study
Author
Montana, Aldrin ; Dekhtyar, Alex ; Neal, Emily ; Black, Michael ; Kitts, Chris
Author_Institution
Comput. Sci. Dept., California Polytech. State Univ., San Luis Obispo, CA, USA
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
155
Lastpage
159
Abstract
Hierarchical clustering is used in computational biology as a method of comparing sequenced bacterial strain DNA and determining bacterial isolates that belong to the same strain. However, the results of the hierarchical clustering are, at times, difficult to read and interpret. This paper is a case study for the use of a modified hierarchical clustering algorithm, which takes into account the underlying structure of the bacterial DNA isolate collection to which it is applied.
Keywords
biology computing; molecular biophysics; pattern clustering; E coli; bacterial DNA isolate collection; bacterial isolates determination; chronology-sensitive hierarchical clustering; computational biology; pyrosequenced DNA clustering; sequenced bacterial strain DNA; Algorithm design and analysis; Clustering algorithms; DNA; Humans; Microorganisms; Strain; bioinformatics; clustering; pyrogram; pyrosequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1799-4
Type
conf
DOI
10.1109/BIBM.2011.99
Filename
6120428
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